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5 Data Scientist Cover Letter Examples for 2024

• Data Scientist (DS) Cover Letter
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Data scientists like yourself don’t spend their days simply gathering and analyzing data—this job is much more nuanced. 

Leveraging industry expertise and scientific methods, you meticulously analyze extensive datasets across various fields to identify key results and metrics crucial for a company’s success.

As you look through  job descriptions  and dream of your next position, we know the last thing you want to spend time on is polishing your  data scientist resume  and writing a cover letter . Luckily, we’ve eased the process by writing five data scientist cover letter samples equipped with handy tips and an outline. Coupled with our free cover letter builder , you’ll be off to a great start.

Data Scientist   Cover Letter Example

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7728 SW. Made-up St. Monroe Township, NJ 08831 (123) 456-7890

January 23, 2023

Bonnie Wong, Hiring Manager Best Buy 1000 W 78th St Richfield, MN 55423

Dear Ms. Wong:

Best Buy has been my go-to company for the most reputable brands and innovative tech products for years, and I’d love to apply my strengths as a data scientist toward helping you continue to enrich lives through technology. With a bachelor’s in statistics and a strong background in machine learning, AWS, and Python, I can analyze complex data to bring your strategies to the next level and positively influence key decisions that will affect customers.

My 4 years spent working as a data scientist at Spectrix Analytical Services rewarded me with the ability to mine vast amounts of data and apply scientific methods to analyze them with objective-specific focus and solve real-world business problems. I extracted data from 6 scattered sources, crystallizing the massive information volume into answers for difficult questions that provided business-wide insight. My user-friendly solutions also improved agility and scalability in the form of a centralized system for one of Spectrix’s manufacturing partners that boosted product output by 13%.

I also collaborated with a team of 5 other data scientists and 3 project managers, using Python and knowledge of production line infrastructures to revolutionize an e-commerce algorithm that tailors featured products around key customer browsing data. The production recommendation engine that I helped my team create dramatically improved customers’ time on-page, increasing conversion rates by 15% and growing annual profits by $430K.

My enriching professional experience, effective communication, and ability to apply a human touch to technology have made me an expert at translating complex scientific data into highly legible and reproducible machine learning systems. Please reach out to learn more about how I can develop innovative applications to better serve Best Buy’s customers and community.

Thank you for your consideration,

Howard Irvin

Enclosures: Resume Application

Why this cover letter works

• In your data scientist cover letter, establish a personal connection with the company and highlight that you’re already on the same page when it comes to their goals and values.
• If you’re drawing a blank on how to relate to the company, you can always find examples to reference in their job listing or website!
• The tone and content of your data scientist cover letter should establish a strong link with the company’s values and demonstrate that your work is impactful. 

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Data Science Internship Cover Letter Example

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123 Fictional Avenue New York City, NY 10001 (123) 456-7890

November 20, 2023

James Smith Google 123 Fictional Lane New York City, NY 10001

Dear Mr. Smith:

The adoption of robust data-driven strategies to accelerate business growth and operational efficiency by numerous firms globally underscores data science’s influence. Driven by a profound interest in this captivating interface and in line with Google’s long-established reputation as a frontrunner in data technology, I’m thrilled at the opportunity to contribute my skills as a data science intern at Google.

An internship at mParticle brought my academic background in data cleansing to life. Using prominent tools like Pandas for data wrangling and Keras for addressing missing data proved to be rather potent in successfully handling a dataset comprising thousands of entries. This experience led to a better understanding of practical data-preprocessing techniques and meaningfully contributed to a significant 18.7% reduction in error rates in our predictive models.

My academic journey at Pace University enabled me to master numerous Python libraries, such as pandas and scikit-learn, which I deployed to tackle complex data analysis problems and develop predictive models. One highlight of my coursework was creating a prediction model as a part of a project, leveraging Python to increase the efficiency of hypothetical marketing campaigns.

Similarly, my knack for data visualization with tools like Matplotlib and Seaborn was instrumental in an NYC science fair project. The project revolved around social media’s impact on teenage mental health. My effective visualization of insights from a dataset of 1,200+ social media usage logs was notable, going on to secure 3rd place in the citywide contest.

I’m excited to join Google’s data science team, harnessing my passion for data science, technical skills, and penchant for delivering actionable insights to drive Google’s next wave of innovations. Thanks for your time and consideration, and I look forward to delving deeper into my qualifications in an upcoming interview.

Sofia Kowalski

• Take the case of Sophia’s triumphant application of Matplotlib and Seaborn, earning her third place in a local competition. But even as you relive a similar experience, the skills and tools used should be relevant to the role.

Entry-Level Data Scientist Cover Letter Example

Copy this text for your Entry-Level Data Scientist cover letter!

123 Fictional Avenue Los Angeles, CA 90001 (123) 456-7890

Emma Johnson Amazon 123 Fictional Lane Los Angeles, CA 90001

Dear Mr. Johnson:

I’ve always been captivated by the sheer power of data. My inclination toward technology evolved into a passion for leveraging data to extract insights, armed with a Bachelor’s in computer science and a well-rounded exposure in statistical analysis, natural language processing, and more. I’m eager to apply my technical acumen alongside my teamwork skills to help Amazon navigate the data science landscape.

In my recent internship at a Los Angeles tech start-up, Sidebench, I relied heavily on predictive analytics and statistical analysis using tools like R and Python. My proficient data handling trimmed our model’s processing time by 13.7%. As part of a Scrum team, I successfully navigated convoluted datasets, eliminating over 34 hurdles that led to invaluable insights for our product strategy team.

I ventured into natural language processing in my senior year project at Loyola Marymount University. Using NLTK and spaCy, I built a sentiment analysis model on an extensive dataset of customer reviews, which enhanced review classification accuracy significantly. This experience validated my ability to draw actionable insights from unstructured data.

Further, my cloud computing skills were put to the test in a local hackathon, where I implemented an AWS solution that enhanced data retrieval speed by 13.9%, accounting for our team’s commendable second-place finish. This exposure helped me understand how scalable cloud solutions can revolutionize data management in the modern age.

Eager to explore the robust data science discipline at Amazon, I’m confident that my vibrant mix of technical expertise and teamwork skills will contribute to your data-driven approach. Please feel free to contact me for more discussions on how I could be a valuable addition to your team. Thank you for your consideration.

• Talk about the company you interned at (Cue Sidebench), the responsibilities you shouldered, the skills and tools used (cue predictive analytics and Python), and the measurable impact you made (in this case, cutting a model’s processing time by 13.7%). Alternatively, shine your spotlight on a personal or school project.

Senior Data Scientist Cover Letter Example

Copy this text for your Senior Data Scientist cover letter!

172 NW Fable Ave. New York, NY 12601 (123) 456-7890

Kelly Brown, Hiring Manager GrubHub 9374 Wellington Street Brooklyn, NY 11207

Dear Ms. Brown:

Who hasn’t loved GrubHub’s quick, reliable food delivery since the start of the pandemic? I’m one of countless customers you’ve reached, and I want to help streamline your business infrastructures with my software development, algorithm, and leadership skills. Restaurants truly do sit at the heart of communities, so as your next results-oriented senior data scientist, I’ll focus on growth and collaboration to bolster your teams’ success and customers’ satisfaction.

My master’s in computer science gave me a strong analytical and tech-based foundation for Python, SQL, and AWS—the skills that quickly became my passion during my decade of innovative growth at 2U. Using these tools, I analyzed the customer and industry data from a vast pool of disparate sources, identifying problems to solve and opportunities for improvement. After successfully optimizing user-targeted algorithms upon which countless digital courses hinged, I drove a 16% improvement in user feedback.

I also planned and conducted A/B testing to identify pain points and weaknesses in existing systems, distilling the volume of data I’d gathered via machine learning, user feedback, bounce rates, and customer retention statistics into understandable language and usable, efficient actions plans for 2U’s development teams. As a result, the company saw a reduction of 57 manual labor hours per month as well as a 14% increase in customer retention.

While my work has been exhilarating, I’m hungry for more complex challenges. As a self-directed senior data scientist who can make educated decisions in a fast-paced and ambiguous environment, I’m eager to leverage state-of-the-art machine learning to trailblaze new models and strategies. Thank you for considering me for this role, and I look forward to speaking soon about increasing GrubHub’s impact.

Jennifer Santos

Enclosures: Resume Application 2 letters of recommendation

• Mention your technical and goal-oriented alignment with the company alongside any personal connection. Look for opportunities to show you’re the right person for the job—especially when applying for senior roles.
• Read through the company site and  data scientist job listing , and then provide examples of you meeting those requirements that show why you already belong there! 

NLP Data Scientist Cover Letter Example

Copy this text for your NLP Data Scientist cover letter!

9070 Myth St. Kennewick, WA 99337 (123) 456-7890

William Sanchez, Hiring Manager Amazon 695 Elm Lane Gettysburg, PA 17325

Dear Mr. Sanchez:

As a genuine people person fascinated by diverse cultures, I believe I offer the qualities and characteristics you’re looking for in your next NLP data scientist. Of course, people skills are a fraction of what’s needed, and I’m excited to apply my combination of customer and back-end experience towards tackling tough language problems and providing Amazon with elegant solutions.

During my previous stint at Avenica, I leveraged A/B testing and machine learning to build a sleek automated system that assesses the quality and credibility of user reviews. I collaborated with multiple teams, primarily with the software engineering and data analysis departments, to improve the accuracy and performance of MT models company-wide, which further boosted the efficacy of the new automated system. My diligence in this area improved review accuracy and reliability by 21%.

I also built bridges between client-side and back-end functionality, between customer and company. By collaborating with teams and synthesizing and streamlining large volumes of data, I broke down the language in Avenica’s customer-facing features to pinpoint areas of lesser relevance. Using linguistic, machine learning, and machine translation skills to improve relevance, I helped the company see a 14% increase in customer return rates in multiple countries.

I’m eager to offer Amazon my expertise in machine translation, Python, advanced troubleshooting, and multi-level collaboration to design data-processing workflows that will collect, analyze, and prepare vast natural language data sets. I’d love to connect soon to provide additional information on how my cross-functional data analysis and linguistic prowess qualify me to assist Amazon’s International Search team and community.

With sincere thanks,

Marc McGrath

Enclosures: Resume Application Letter of recommendation AI & Machine Learning professional certification

• Focus on technical and collaborative experience with more complex achievements when applying for a nuanced role like an NLP data scientist.
• If the job description focuses more on  hard skills  (as it will for a data scientist!), then do the same while maintaining personality.
• Always do your research and pay attention to the focal points in the job description and company site; then, focus your NLP data scientist cover letter on defining traits from your research. 

Data Scientist Resume

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How to Write a Cover Letter for a Data Scientist

Keep these key themes in mind while you showcase your best qualities as a data scientist. First, study the job description and research the company to determine which of your achievements are most relevant. Then, proofread thoroughly for tone and accuracy to ensure you’re sending the right message.

Customize your data scientist cover letter to the job

Way too many cover letters leave recruiters nodding off by the end of the first paragraph. One of the best ways to keep your data scientist cover letter from sounding boring and generic is to research the company and pay attention to the  job description . When you read through the website and job listing, look for specific needs or skills that stand out as strengths you have or things you’ve done before.

Fortunately, there’s plenty of scope available since the field is so broad, so look for tidbits like KPIs or testing systems that line up with your experience and achievements. Comb the company’s website for interpersonal values you can demonstrate in your cover letter—especially anything like collaboration, communication, or goals that reach across the globe. These will demonstrate your ability to think broadly.

Focus on a couple of data highlights

Data scientists are specifically known for their ability to assess massive amounts of data and hone in on the few points most relevant to their company. It’s imperative that you demonstrate this ability within your cover letter by picking a couple of career highlights to focus on and backing them up with key metrics.

Your cover letter should go beyond the bullet points in your  data science resume , but you don’t have room to tackle the details of more than one big accomplishment per paragraph. So, pick whatever’s most impressive—and what lines up with the company’s requests—to keep your cover letter under one page. 

When deciding what to write, ask yourself the following: 

• What company-wide testing systems did you develop, launch and maintain? 
• Did you vastly improve sales rates by gathering data via machine learning and translating the information into useful manufacturing improvement strategies? 
• How did you use data integration to streamline business practices that reduce the company’s manual labor hours to this day?

Match your tone to the company

While customizing your data scientist cover letter to the job description and company values will build an excellent foundation for you to showcase your most glowing accomplishments, your cover letter needs a little more. You must convey a cohesive, positive message.

Ensure the feel of your letter is in line with the company culture where you’re applying. If you’ve checked all the boxes by personally connecting with company values and providing concise examples with metrics, but it still doesn’t feel   right, circle back to the company website and job description to perfect your tone. Is the company culture more corporate and formal, or does it place more value on friendliness, personality, and community ethics?

Ensure the feel of your letter is in line with the company culture where you’re applying.

When you’ve settled on the right tone, dedicate time for revision: 

• Eliminate all typos and grammatical errors, and even write a few different versions that highlight different accomplishments to see which ones work best. 
• Revise, rewrite, and edit as much as you need to. You’ll thank yourself for it later when you get the response you’ve been waiting for!

Outline of a Data Scientist Cover Letter

There’s no need to stare at a blank screen; we’ve put together an outline for you, complete with examples that you can use to inspire your own cover letter.

How to start a data scientist cover letter

Your contact info:  Include your name, address, phone number, and email address (along with your LinkedIn or other professional social media) if you’re using a cover letter template.

• Formatting : Leave your name out of your address anytime you use a block format.

Date:  This should reflect your exact submission date, e.g., January 5, 2023.

• Formatting : Write out the full date instead of shortening it.

Inside address:  This one’s easy—it’s just the address of the person receiving your application materials. Always find and include their name, company and role, and address. 

• Formatting : Each part of the address should be on its own line. Also, make sure you double-space between the inside address and greeting.

Greeting:  Also known as the salutation, the greeting delivers a crucial first impression. As a data scientist, you’re a pro at digging and investigating, so put in the effort to find the name of the hiring manager or employer, and don’t even think about using generic, tired phrases like “To Whom It May Concern.” 

• Formatting : Don’t use a comma after your greeting—use a colon instead for professionalism. However, if the company is notoriously casual, a comma will do.

How to write your data scientist cover letter

Body:  The body of your data scientist cover letter should include three to four paragraphs that show your interest, credentials and qualifications, and enthusiasm for future discussion.

Opening paragraph:  Most cover letters are insufferably generic, so make sure yours shines. Review the following examples of opening paragraphs for data scientist cover letters to see how you can make yours attention-grabbing and effective.

I’ve had all kinds of experience as a data scientist, so you’d be crazy not to hire me! I can work with all kinds of people too, so I’d be a great team member at your company.

Why It’s Bad:  Well, this opener is memorable—but not in a good way! It’s far too vague for a data scientist. The whole point of the role is the ability to condense vast datasets into clear points, and this applicant has done the opposite with vague sentences that provide no clear information. The language is also informal, and we see nothing that’s company-specific.

Why It’s Good:  This opening paragraph has it all—a personal connection with the company that leads to references and values from the company website. The applicant also follows up with a well-rounded set of qualifications, many of which are specifically called for in the job description, once again tying into the company’s goals.

Paragraphs 2-3:  The body of your cover letter needs to substantiate your claims that hooked the reader in your starting paragraph. Each paragraph should hone in on one specific achievement from your experience as a data scientist, such as a testing system you created or a specific company KPI you improved with machine learning data. 

Why It’s Good:  This paragraph is off to a strong start with metrics, specific skills, and personal qualities that all exemplify an excellent data scientist. And then the applicant does a beautiful job of concisely explaining how all these selling points tie into a single, results-driven achievement that’s parallel to one of the obstacles listed in the job description.

Closing paragraph:  Finish strong with a sentence summary of how your values and qualifications align with what the company/organization needs. Lastly, give a call to action.

I love Best Buy and definitely would like working there. And as you can see, I’m qualified. Drop me a line for more information.

Why It’s Bad: Our bad Best Buy applicant is back at it again: At least they mentioned the actual company this time, but this closing paragraph is still too vague and informal. How are they qualified? Get specific!

Why It’s Good: This is the ideal blend of personal qualifications and personality, language from the job description, and clear alignment with company values that we like to see. One glance at this paragraph tells you that this data scientist is already familiar with the company and role and is eager for advancement.

• Formatting : Single-space within each paragraph, but double-space in between paragraphs for readability.

How to end a data scientist cover letter

Signature:  Thank the reader for their time if you haven’t done it yet, and use a professional close along with your real name.

• Formatting : If you’re presenting any hard copies of your data scientist cover letter, quadruple space, so you’ll have room to sign your name with blue/black ink.

Enclosure(s):  This important piece to include in your cover letter signals the reader that more valuable information comes after the letter itself. A data scientist should always include their resume and application with their cover letter along with any professional letters of recommendation from previous relevant roles or certifications—especially when advancing to a senior position!

Enclosures: Resume  Application  Letter of recommendation AI and Machine Learning Professional certification 

• Formatting : Use the correct singular or plural form of “enclosure” depending on how many items you’re enclosing.

Is Your Data Scientist Resume Ready?

A data scientist like you has probably already synthesized all this information so you’re ready to go and start your cover letter right away. And while your cover letter should certainly be outstanding, you don’t want your  resume template  or information to pale in comparison. Plus, it’s easier to write your cover letter once your resume is complete!

Our  resume tips  and tools will help you succeed. If you have an old resume, what better time to refresh it?  Check your resume  for quality or  write your resume  from scratch if you haven’t started yet. If you’re sick of making decisions about your job documents, you can skip the search for the right template and edit this one here.

Doing your homework and putting in the extra effort to make sure that both your cover letter and resume are in peak condition will serve as the first step in demonstrating what you have to offer as a data scientist. Catching your potential employer’s attention means you’re a few steps closer to landing your ideal job!

Just like you turn large data sets into actionable insights, leverage data to show that you’re a skilled candidate. Talk about how long you’ve been a data scientist, your skills in things like statistics, data analysis, and machine learning, and the impact you’ve made. This is where you can expand on a particularly juicy metric from your resume, such as boosting product output or growing yearly profits.

Keep your cover letter concise and to the point. Study the data scientist job description carefully and find ways to connect to the company, be it through your background in exploratory data analysis or through your personal values. Include examples of these crucial connections, and try to wrap it all up in 300 words or less.

Cover letters always used to include an address, but this has largely been replaced by emails instead. However, you can include the company address if you wish. For your own address, the city and state will suffice. The same rule that applies to your job is important here, too—too much data can become nothing but clutter.

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Data Scientist Cover Letter Examples For 2024 (20+ Skills & Templates)

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Looking to score a job as a Data Scientist?

You're going to need an awesome cover letter. This guide is your one-stop-shop for writing a job-winning Data Scientist cover letter  using our proven strategies, skills, templates, and examples.

All of the content in this guide is based on data from coaching thousands of job seekers (just like you!) who went on to land offers at the world's best companies.

If you want to maximize your chances of landing that Data Scientist role, I recommend reading this piece from top to bottom. But if you're just looking for something specific, here's what's included in this guide:

• What To Know About Writing A Job-Winning Data Scientist Cover Letter
• The Best Skills To Include On A Data Scientist Cover Letter

How To Address A Data Scientist Cover Letter

• 3 Data Scientist Cover Letter Examples

The 8 Best Data Scientist Cover Letter Templates

3 tips for writing a job-winning data scientist cover letter.

Here's the step-by-step breakdown:

Data Scientist Cover Letter Overview: What To Know To Write A Cover Letter That Wins More Job Offers

What do companies look for when they're hiring a Data Scientist?

Companies want Data Scientists with strong technical skills in programming languages like Python or R. They also want candidates skilled in data manipulation, statistical analysis, and machine learning models.

Companies are also seeking data scientists who possess problem-solving skills and can extract actionable insights from large datasets.

Your cover letter should show the company that your personality and your experience encompass all of these things.

Additionally, there are a few best practices you want to follow to write a job-winning Data Scientist cover letter:

• Properly address your letter: Begin your letter by addressing the hiring manager or team. Don't forget to state the specific Data Scientist job you are interested in!
• Express your understanding of the company: Clearly articulate that you are well-familiarized with the company's products and the market, and tie this up with your skills, demonstrating how they align with their needs.
• Highlight your skills: Showcase your most relevant skills for the role, such as proficiency in relevant programming languages, analysis, machine learning, AI, and more.
• Tailor your cover letter for the job description: Emphasize your experience to meet the job requirements listed in the description.
• Be concise and clear: Your cover letter should be short and easy to read. Keep it to one page and focus on the good stuff!
• End with a call to action: Close with an effective call to action, expressing enthusiasm for the opportunity and inviting further discussion on how you can contribute to the company's success.
• Proofread: Make sure to thoroughly proofread your cover letter for any grammatical errors or typos. A well-written, error-free letter can make a strong first impression. I recommend using Hemingway App or Grammarly to do this.

Let's dive deeper into each of these, so you have the exact blueprint you need to see success.

The Best Data Scientist Skills To Include On Your Cover Letter

Keywords are one of the most important factors in your cover letter. They show employers that your skills align with the role, and they also help format your cover letter for Applicant Tracking Systems (ATS).

If you're not familiar with ATS systems, they are pieces of software used by employers to manage job applications. They scan cover letters for keywords and qualifications and make it easier for employers to filter and search for candidates whose qualifications match the role.

If you want to win more interviews and job offers, you need to have a keyword-optimized cover letter. There are two ways to find the right keywords:

1. Leverage The 20 Best Data Scientist Keywords

The first is to leverage our list of the best keywords and skills for a Data Scientist cover letter.

These keywords were selected from an analysis of  real Data Scientist job descriptions sourced from actual job boards. Here they are:

• Data Science
• Communication
• Machine Learning
• Engineering
• Cross-Functional
• Organization
• Collaboration
• Decision Making

2. Use ResyMatch.io To Find The Best Keywords That Are Specific To Your Cover Letter And Target Role

The second method is the one I recommend because it's personalized to your specific cover letter and target job.

This process lets you find the exact keywords that your cover letter is missing when compared to the individual role you're applying for.

Here's how it works:

• Open a copy of your updated Data Scientist cover letter
• Open a copy of your target Data Scientist job description
• In the widget below, paste the job description and hit scan!

ResyMatch is going to scan the target job description and show you the exact keywords and skills that are relevant to the role and that you should weave into your cover letter.

If you're ready to check it out, grab your target job description and run your first scan here:

To start, paste your target job description (or multiple job descriptions) into the box below:

Scan to help you identify keywords and skills within your target job description.

Scanning...

If you're more of a visual learner, here's a video walking through this whole process so you can follow along:

Personalization is what makes a cover letter stand out. That starts from the very first sentence where you greet the person reading your cover letter! There are two ways to do this well:

1. Use The Hiring Manager's Name

The first, and best, is by including the hiring manager's name. Let's say that you discovered the hiring manager's name from a post on LinkedIn or via an informational interview.

This is the jackpot! All you need to do is use their name in the introduction, like this:

2. Use This Formula: To The [Department] Team at [Company]

If you don't have the hiring manager's name, no problem! You can address your cover letter to the team that you're applying to.

For example, if you're applying for a Product Marketing Manager role at Discovery Education, you might start your cover letter like this:

This shows the reader that this letter has been written specifically for them and the content inside of it will support that.

It's much more relevant and personal than  “To Whom It May Concern!”

For more advice on writing a strong opening to your cover letter, check out this guide.

3 Data Scientist Letter Examples For 2024

Now let's take a look at all of these best practices in action. Here are three cover letter examples for different situations from people with different backgrounds who are all applying for Data Scientist roles:

Data Scientist Cover Letter Example #1: A Traditional Background

Our first example is a cover letter written by a candidate with traditional experience. Here is what an example of their cover letter might look like:

Data Scientist Cover Letter Example #2: A Non-Traditional Background

Our second cover letter example comes from a candidate looking to transition from a background in sales to a Data Scientist role. This cover letter demonstrates how the author identifies and communicates their transferable skills:

Data Scientist Cover Letter Example #3: Data Scientist New Grad

Our third example highlights a new grad who's worked on several self-initiated projects. Here is what their cover letter might look like:

At this point, you know all of the basics you'll need to write a Data Scientist cover letter that wins you more interviews and offers. The only thing left is to take all of that information and apply it to a template that's going to help you get results.

We made that easy with  our CoverBuild tool . It has 8 proven templates that were created with the help of recruiters and hiring managers at the world's best companies. These templates also bake in thousands of data points we have from the job seekers in our audience who have used them to land job offers.

Just click any of the templates below to start building your cover letter using proven, recruiter-approved templates:

Free Job-Winning Cover Letter Templates, Have AI Write Yours in Less Than 2 Minutes .

Choose a cover letter template below to get started:.

Great Choice! Now, how do you want to write your cover letter?

Let AI write your unique cover letter using our proven templates.

Or use our templates to write your own from scratch.

You're off to a strong start! But I've got a few more tips to help you take your cover letter to the next level:

1. Use CoverBuild.io To Write Your Cover Letter In <2 Minutes

All of these tips and best practices work, but you still have to implement them. Normally, that'd mean you sitting down and spending hours brainstorming ideas, typing, deleting, and typing again, and then feeling absolutely drained.

Now there's a way to work around all of that so you save your best energy for the writing and edits that matter most. Here's how it works:

• Head to CoverBuild.io
• Select the “2 Minutes” option to have AI write your cover letter
• Select a template for your cover letter, then follow the 3 step process for sharing info about your experience and the target job with CoverBuild's AI
• Click “Generate My Cover Letter” and watch the tool write a unique cover letter that's personalized to your experience and your target job!

To make it even easier, you can select a cover letter template from the widget below to get started:

If you'd like to see the process in action, here's a video walking through all of the steps above:

Note:  I do not recommend or advise that you simply copy and paste any AI-generated content and submit your application. You should always review, revise, and personalize the content yourself before applying.

2. Include Measurable Metrics And Outcomes

Too many job seekers only focus on the actions that they took and not the outcomes that resulted from those actions. As a hiring manager, it's impossible to differentiate between a dozen candidates who were all “Responsible for building applications to help achieve company goals.”

If you want to win, your cover letter should speak to the specific outcomes that you drove in previous roles. That could be:

• The accuracy of the predictive models you've developed
• The sales increase you've helped drive with data analysis
• The operational costs you helped reduce

These outcomes will show hiring teams what you're capable of and make your value crystal clear!

3. Match Your Cover Letter And Resume Design

They're the exact same car, down to the year, make, and model. The only difference is the way the product was presented. Like I said, quality impacts perceived value.

One of the best ways to boost the quality of your cover letter is to make it look clean, professional, and have it match your resume. That's why the resume templates in our resume builder tool match the cover letter templates in our cover letter builder:

If you use both tools to create your cover letter and your resume, your entire application is going to be top notch.

Key Takeaways To Wrap Up Your Job-Winning Cover Letter

You made it! We packed a lot of information into this post so I wanted to distill the key points for you and lay out next steps so you know exactly where to from here.

Here are the 5 steps for writing a job-winning Data Scientist cover letter:

• Start with a proven cover letter template from CoverBuild.io
• Use  ResyMatch.io to find the right keywords and optimize your cover letter for each role you apply to
• Start your cover letter with a personalized greeting for the hiring manager or team name
• Emphasize the measurable outcomes and value you drove in previous roles (include metrics!)
• Compare the draft of your cover letter to the examples on this page to make sure you're on the right path
• Use a tool like  Hemingway App or Grammarly to proofread your cover letter before you submit it

If you follow those steps, you're going to be well on your way to landing more Data Scientist interviews and job offers.

Now that your cover letter is taken care of, be sure to check out our guide on writing a job-winning Data Scientist resume (with examples!).

Paula Martins

Paula is Cultivated Culture's amazing Editor and Content Manager. Her background is in journalism and she's transitioned from roles in education, to tech, to finance, and more. She blends her journalism background with her job search experience to share advice aimed at helping people like you land jobs they love without applying online.

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Data Scientist Cover Letter Examples and Templates for 2024

• Cover Letter Examples
• Cover Letter Text Examples

How To Write a Data Scientist Cover Letter

When writing your data scientist cover letter , focus on how you can generate statistical insights for the organization that posted the job. Also, emphasize your related skills like algorithm testing, process streamlining, or data visualization.

This guide will help you write a cover letter that gets you interviews for your next job as a data scientist.

Data Scientist Cover Letter Templates and Examples

• Entry-Level
• Senior-Level

Data Scientist Text-Only Cover Letter Templates and Examples

Dan Doe Data Scientist | [email protected] | (123) 456-7890 | 456 Address Rd., Fort Lauderdale, FL 33319

June 2, 2024

Jenny Smith Hiring Manager Data Labs (967) 684-3230 [email protected]

Dear Jenny Smith,

Since undertaking my current data scientist role at Science Labs Corporation, I have successfully expanded the company’s data by 30%. I achieved this by incorporating third-party sources and using my initiative, for which I receive regular compliments. I hope to bring this same level of success to Data Labs as a data scientist.

With three years of data science experience and two promotions under my belt, I was attracted to the position at Data Labs due to the company’s reputation for high performance. I also appreciate Data Lab’s approach to employee well-being and feel I would thrive within the company.

If I were to secure this role, I plan to bring even more success to Data Labs. Some of my past responsibilities and achievements include:

• Improving the efficiency of data collection techniques, resulting in 15% faster collation
• Undertaking a new approach to data regression analysis, which helped the company predict future sales with a 95% accuracy rate

I would like to arrange an interview to discuss how my skills could help further Data Lab’s already impressive reputation for success. I look forward to hearing from you.

Best regards,

Diana Kaiser Lead Statistician | [email protected] | (123) 456-7890 | 321 My Road, San Francisco, CA 12345

June 1, 2024

Habibah Mata Senior Hiring Manager Seattle Genetics (111) 222-3333 [email protected]

Dear Ms. Mata,

Being shortlisted for the International Prize in Statistics for innovations in the field of clinical trial statistical methods was the pinnacle of my career to date. I hope to bring the same revolutionary thinking and attention to detail to the Principal Statistician role at Seattle Genetics.

With eight years of specialist training in the field and over two years in a leadership role, my skills and experience make me the perfect fit for Seattle Genetics’ prominent position in the genetic research sphere. My key achievements include:

• Designing a software program to improve bioinformatics for lung cancer detection, resulting in a multimillion-dollar research grant
• Achieving 25+ publications in genetic statistics and computation
• Spearheading a team to develop methodologies that improved data analysis accuracy by 45% in 2020

I have the qualities necessary to become an inspiring and effective leader at Seattle Genetics and would appreciate discussing the position with you further. Please don’t hesitate to contact me to schedule a meeting.

Diana Kaiser

Bethanie Stafford Principal Mathematician | [email protected] | (567) 890-1234 | 456 Address Road, San Francisco, CA 54321

June 4, 2024

Lilian Irwin Senior Hiring Manager Edivna (789) 012-3456 [email protected]

Dear Ms. Irwin,

My shortlisting for a Beckenbach Book Prize in 2023 for my publication on applied mathematics was my proudest achievement to date as a mathematician. I hope to demonstrate my extensive knowledge of mathematical modeling and strong leadership style in the principal mathematician role at Edivna.

With 10+ years’ experience managing multiple projects and large teams, I’m intrigued by Evidna’s track record for industry excellence and results-focused philosophy. I believe that my proven ability for accuracy and efficiency and extensive experience make me the ideal candidate. My recent accomplishments include:

• Leading a team to develop an algorithm that directly contributed to a revenue increase of 43%
• Streamlining and improving analytical processes to reduce cases of fraud and abuse by 67%
• Creating an innovative system to solve client problems that led to the development of the company’s most successful product to date

I would like to arrange a meeting to explore how my broad range of analytical skills and inspiring leadership can drive the mathematical team at Edivna to even greater triumphs in 2021. Please get in touch to arrange a suitable interview time.

Bethanie Stafford

An effective cover letter usually has five sections, outlined below. To write a great data scientist cover letter, connect each section to the employer and its hiring needs. The following advice and examples will show you what to include in your cover letter so it’s optimized for each job application.

At the top of the page, include:

• Your resume contact header, which should give your full name, address , email, phone number, and LinkedIn if applicable
• The recipient’s name, title, organization, and contact information (when available)

Note: Feel free to omit this section if you send your letter by email. But keep your contact details below your signature. Double-check that your phone number is current and accurate and your email address matches the one you’re sending from. These simple details are easy to overlook but as important as any information on your cover letter.

2. Salutation

When possible, address your recipient by name – the quickest way to indicate you’re sending a job-specific letter and not a boilerplate. If the person’s name isn’t available, use a variation of “Dear Hiring Manager” so your greeting is still tailored somewhat to each application.

Dear Seattle Genetics Hiring Manager:

3. “Hook” or introduction

Catch the reader’s attention by citing an achievement from your resume or a key credential the company seeks in applicants. Then, connect that highlight to your main strengths and overall candidacy for the advertised data scientist role. Refer to the hiring organization by name here to further convince the recipient you’re applying to them specifically.

You can also make your introduction stand out by networking. Cite any personal or professional connections you have with the hiring manager. If someone at the organization alerted you to the job, use a line like “I was excited to hear from your colleague [Name] about [Company]’s new data scientist position.” Or, if you’ve already met your recipient, mention that with a line like “It was great speaking with you at the [event] last month.”

4. Body paragraph(s)

On a separate document or sheet of paper, take 10 minutes to brainstorm why this data scientist position or employer interests you. What details on the job posting caught your attention, and how do they compare to your experience?

When you’re done brainstorming, review your notes: Do any stand out as important or persuasive? Take another 10 minutes to brainstorm and elaborate on them. Repeat this process until you have at least two or three concise sentences that speak to the job opening at hand. By making these sentences a central part of your letter, you’ll have the best chance of persuading the manager to give you a call.

Following this explanation, cite a few more of your data scientist skills or achievements , possibly as bullet points.

Finally, request an interview and thank the hiring manager for their time and attention. Consider briefly restating why this job opportunity interests you. You can also use this section to refer to your resume or other application materials. To end your cover letter, use a simple closing like “Sincerely” or “Best regards” and then your name.

Data Scientist Cover Letter Tips

1. show you can derive data-backed insights.

Start your letter strong with a clear example or measure of your success as a data scientist. Consider how you’ve developed or bettered companies’ use of data and how those improvements helped clarify business issues or opportunities.

2. Tell why you’re drawn to this data scientist job

For example, maybe the role requires executive consulting and creative data visualization, two focus areas of your most recent job. Or maybe you identify with the firm’s stated values around data accuracy and confidentiality.

With eight years of specialist training in the field and over two years in a leadership role, my skills and experience make me the perfect fit for Seattle Genetics’ prominent position in the genetic research sphere.

3. Highlight your technical and soft skills

Add a short list of bullet points to show your success in related work areas for your target job, such as data gathering, client relations, or process streamlining. Also, consider using this section to present your expertise in web-scraping, data visualization, or other relevant software programs.

My recent accomplishments include:

Data Scientist Cover Letter Frequently Asked Questions

Do hiring managers still read cover letters -.

Some don’t, but many do. And all hiring managers seek fast ways to cut a large pile of applications down to just a few promising candidates. One common way they do this is by focusing on applications that include cover letters, then on cover letters that speak to their hiring needs. Send a custom cover letter with your resume, and you can be confident you’d end up in that select group.

How should I format my cover letter? -

Like your resume. Carry over that document’s basic format settings , such as font style, line spacing, and page margins.

How long should a data science cover letter be? -

No more than one page, or around 250 words. Resist the urge to tell your whole career story, even if you have extensive background in your target role. Give just enough detail to pique hiring managers’ interest so they look closely at your resume.

Craft a new cover letter in minutes

Get the attention of hiring managers with a cover letter tailored to every job application.

Jacob Meade

Certified Professional Resume Writer (CPRW, ACRW)

Jacob Meade is a resume writer and editor with nearly a decade of experience. His writing method centers on understanding and then expressing each person’s unique work history and strengths toward their career goal. Jacob has enjoyed working with jobseekers of all ages and career levels, finding that a clear and focused resume can help people from any walk of life. He is an Academy Certified Resume Writer (ACRW) with the Resume Writing Academy, and a Certified Professional Resume Writer (CPRW) with the Professional Association of Resume Writers & Career Coaches.

Check Out Related Examples

Computer Science Cover Letter Examples and Templates

Data Analyst Cover Letter Examples and Templates

Data Science Resume Examples and Templates

Build a resume to enhance your career.

• How To Address Employment Gaps on Your Resume and Cover Letter Learn More
• How To Show Your Problem-Solving Skills on Your Resume and Cover Letter Learn More
• What’s the Difference Between a Cover Letter and a Letter of Intent? Learn More

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How to Write a Winning Cover Letter for Data Science Entry-Level Jobs (2024)

Join over 2 million students who advanced their careers with 365 Data Science. Learn from instructors who have worked at Meta, Spotify, Google, IKEA, Netflix, and Coca-Cola and master Python, SQL, Excel, machine learning, data analysis, AI fundamentals, and more.

A well-crafted data science cover letter has the power to distinguish you from the crowd. It creates context around your resume and lets prospective employers see beyond the bulleted lists with qualifications and accomplishments.

Getting Started

While writing your data scientist cover letter for entry-level positions, consider the following questions:

• What data science projects have you participated in?
• With no experience to offer, what unique skills do you have that make you a good fit for the position?
• How is having no prior work experience in data science an advantage?
• Do you have a cover letter for a data science internship that you can revisit?

Crafting a cover letter for data science entry-level positions should revolve around your personality traits and unfolding potential. But, most importantly, it gives you a chance to address a company’s pain point and demonstrate you have what it takes to offer a solution. And that’s precisely what can move your application to the top of the pile.

Data Scientist Cover Letter Example

Consider the following junior data scientist cover letter example, looking to specialize in AI research engineering:

Dear Hiring Manager,

As a recent graduate with a degree in data science and a lifelong interest in technology, I find Dozen’s constant commitment to leveraging AI to solve the F&B industry’s biggest challenges fascinating. My passion for data-driven research for answering hard questions with data has always driven me forward in my ambition to develop novel techniques to understand food data and build applications to address business problems.

With three years of experience in Tensorflow and PyTorch in college, I’m confident I will be an excellent fit for Dozen’s next junior AI research engineer. My hands-on experience in infrastructure construction (AWS, GCP, Docker) and understanding of key machine learning concepts have given me the innovative and technical skills necessary to successfully provide your company with appropriate technological  solutions to client issues.

I know that Dozen’s plans involve designing and implementing new predictive machine learning and artificial intelligence algorithms to improve outcomes and economies of scale. This project perfectly matches my interests and is an exciting opportunity to identify and formulate analytical problems underlying waste management and supply chain. With this initiative, I would happily leverage my knowledge of machine learning, optimization toolkits, Python, and R to achieve groundbreaking results. 

I look forward to discussing how my innovative ideas and data science expertise can transform Dozen’s research into AI capabilities for better performance and efficiency.

[Your Name]

Writing a Winning Data Science Cover Letter with No Experience

How do you write a compelling data science cover letter if you have yet to gain work experience in the field? An excellent data science cover letter should convey that you’re the perfect fit for the company. But you can’t make that impression if you’re not an expert on your target company first, right? So, before you start writing, note the following steps you need to take:

• Research the prospective employer;
• Describe your skills and achievements;
• Format your data science cover letter.

Research Your Prospective Employer

Researching an employer is necessary for any job candidate—especially when writing a cover letter for data science entry-level roles. Data science serves many industries. So, as a budding professional, you must showcase your interest in that line of work—be it security, stock trading, food innovation, or consulting. Moreover, you should be familiar with their main competitors in the market and the technology your target company uses. There are clever ways to incorporate this knowledge into your cover letter. And fortunately, there are plenty of sites where you can find all the information you need.

Company’s Website

A company’s website is the first place you should look because its services, projects, product descriptions, and news are all there. Their About Us page reveals the company culture and its core values. So, mention some of those in your data science cover letter—showing your avid interest in this job opportunity with this company. After all, no employer wants to be just one of many.

Stackshare, G2 Track, and Similar Sites

Stackshare and G2 Track are crowdsourced platforms where companies’ team members share the technology they use in their workplace—including top Fortune 500 companies like Amazon and Walmart. You can explore the company profile to find the application and data tools, utilities, and business tools it employs daily. And if you’re proficient in any of those, add them to your data science cover letter.

Social media

Don’t forget to check out the company’s LinkedIn, Instagram, Facebook, and Twitter presence. These will inform you about the company’s latest projects and upcoming initiatives. Moreover, they might give you a sneak peek into recent team events and help you understand the company culture. You can then tailor your data science cover letter to impress a potential employer with your proactivity right from the start.

Annual Report

If you’re applying for a job at a publicly traded company, their annual report is an absolute gold mine. That’s where you can become familiar with the company’s industries, their business segments, a management’s discussion and analysis (MD&A) of the business’s financial condition, and even financial results over the past few years. You can also find the list of the board of directors and executives, with their occupations. In addition, the annual report shares details about their product lines, operating locations, and project leads. Not only is this a bonus for your data scientist cover letter, but it will also benefit your data science interview preparation .

The Job Description

It’s essential to fully understand the job description and ensure your cover letter demonstrates you meet your prospective employer’s needs. Like your resume, you should customize it according to the data science internship or junior position you’re applying for. This doesn’t mean you should go overboard with self-praise—tie your skills and education to the company’s business goals or a relevant issue you believe you can solve.

Describe Your Skills and Achievements

Your skills and achievements are vital to an excellent data science cover letter, which must be coherent and impeccable. Each paragraph should be well-thought-out to serve a particular purpose. You need an opening directed to the right person, an introduction that creates interest and curiosity, and body paragraphs that bind your qualifications and skills to the company’s targets and plans for development. And finally, you should have a strong closing paragraph with a must-have call to action.

Format the Data Science Cover Letter

Formatting can speak louder than words. A clean and stylish cover letter consistent with your resume exudes professionalism and a serious approach to the job application process. Fortunately, there are simple rules you can follow to create an elegant and sharp cover letter :

• The cover letter and resume must have the same design.
• A cover letter should be up to one page long.
• Fonts should be easy to read, e.g., Calibri 10–12pt.
• Use one-inch margins and align to the left.
• Spacing should be consistent.
• Ensure the file type is compatible with various devices.
• Use transition words between paragraphs

Data Science Cover Letter Т emplates

Writing and formatting a data science cover letter from scratch can be daunting—especially if you’re fresh out of college or transferring into data science from a different field. So, we’re sharing cover letter samples for five of the most sought-after jobs in data science: data analyst, BI analyst, data engineer, data architect, and data scientist:

• Data scientist cover letter template
• Data analyst cover letter template
• BI analyst cover letter template
• Data Engineer cover letter template
• Data Architect cover letter template

Writing a Data Science Cover Letter for Entry-Level Positions: Best Practices

If you’re new to writing data science cover letters, you may feel the need to be thorough. But that’s not what crafting a cover letter is about. You should find a way to keep it short and impress your potential employer in less than a minute.

Consider the following pointers specialists recommend when writing a data science cover letter for an entry-level position:

• Balance hard and soft skills
• Keep it short
• Customize your input
• Quantify successes
• Review and edit the text more than once

Ready to Advance Your Data Science Career?

Before writing your data scientist cover letter, you may want to hear what industry experts have to share about it. With the course Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process , a top-level data scientist and his team guide you through all the steps to landing a data science internship or an entry-level job.

You’ll learn how to create your data science project portfolio, build your resume, get an interview through networking, succeed during the phone interview, solve the take-home test, and ace the behavioral and technical questions.

World-Class

Data Science

Learn with instructors from:

Marta Teneva

Senior Copywriter

Marta is a former Senior Copywriter at 365 Data Science. Digging into her own experience of transitioning into a new field and all the uncertainty that initially goes with it, she creates informative and fun to read content that helps our readers expand their career options in data science and achieve the goals they have set for themselves.

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Resume Worded   |  Career Strategy

14 data scientist cover letters.

Approved by real hiring managers, these Data Scientist cover letters have been proven to get people hired in 2024. A hiring manager explains why.

Table of contents

• Data Scientist
• Senior Data Scientist
• Lead Data Scientist
• Data Science Manager
• Machine Learning Engineer
• Alternative introductions for your cover letter
• Data Scientist resume examples

Data Scientist Cover Letter Example

Why this cover letter works in 2024, proven track record.

This sentence effectively highlights the candidate's relevant experience and accomplishments without resorting to generic buzzwords. By providing specific examples and metrics, it demonstrates their ability to drive results and make a tangible impact.

Excitement for the Role

Instead of simply stating that they're excited, the candidate explains why they're drawn to this particular role and how their interests align with the company's goals. This shows genuine enthusiasm and helps set them apart from other applicants.

Highlight Your Passion and Skills

By expressing your enthusiasm for interpreting complex data patterns and problem-solving, you reveal a passion for your work that can't be taught. That's a big plus. Your passion, coupled with your technical skills, signals to me that you're not just looking for any job, but specifically a role where your love for data can make a difference.

Relate Your Skills to the Job

In this sentence, you're doing an excellent job tying your specific skills back to the role you are applying for. Showing how your ability to create predictive models and understand user behavior can help Facebook provide personalized experiences, you're essentially painting a picture of the value you can bring to the company. It helps me see your potential impact on our team.

Show Enthusiasm for the Role

Here, you're not only showing that you're excited about the role, but also that you understand what the role entails. You're conveying that you're prepared for the dynamic environment and eager to apply your skills to real-world problems. This shows me that you're not just interested in the job, but you're also ready for the challenges it presents.

Highlighting concrete achievements

Putting down the specific results you've achieved, like a 40% increase in customer satisfaction or predicting market trends with an 85% accuracy, gives a clear picture of what you're capable of. This isn't just about bragging; it's about providing solid evidence of your expertise and the impact you can have on a company.

Leadership and results in one go

When you mention that you've led a team to develop an algorithm, you're not just sharing a success story. You're also demonstrating your leadership skills and your ability to work effectively with others. This is a two-for-one deal, and it's one recruiters will notice.

Talking about the job role and company

It's important you mention why you're excited about the particular job role and the company. You're not just looking for any job, you're interested in this specific role at Google and what it entails. This shows that you've done your homework and you're willing to invest in this opportunity.

Linking your skills with the company's goals

When you say that your skills and experiences align well with the goals of the team, you're making it easy for recruiters to see how you'd fit in. You're not just a skilled professional – you're someone who can seamlessly integrate into their team and help them achieve their objectives.

A gracious sign-off

Thanking the hiring team for considering your application is a courteous way to close your cover letter. It's a small touch, but it speaks volumes about your professionalism and politeness. Keep it warm and sincere.

Connect with the company's mission

When you express a genuine interest in the company's goals, it shows that you're not just looking for any job, but you're eager to contribute to their specific vision. It helps to create a personal connection right from the start.

Detail your data scientist skills

Listing the technical skills you've developed in your career gives a clear picture of what you bring to the table. It's crucial to highlight your expertise in areas like machine learning and data visualization to show you're a good fit for the role.

Show your collaborative achievements

Highlighting your ability to communicate with different teams and contribute to a data-driven culture emphasizes your soft skills, which are just as important as your technical skills in a collaborative environment.

Express enthusiasm for solving problems

Sharing your excitement about tackling real-world issues indicates a proactive and passionate mindset, which is highly valued in data science roles where innovation and problem-solving are key.

Invite further discussion

Ending your cover letter by expressing your desire to discuss your application further shows openness and readiness for the next steps, making it clear you're genuinely interested in the opportunity.

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Blend personal interests with professional goals

Linking your personal passion for music with the data scientist role at Spotify instantly creates a memorable connection. It tells me this isn’t just a job to you; it’s something you’re truly passionate about.

Demonstrate varied expertise

Stating your blend of technical skills and creative problem-solving highlights your multidimensional capabilities. It suggests you can approach challenges from different angles, an invaluable trait for a data scientist.

Showcase recognition and career progression

Mentioning accolades and promotions is a great way to underline your expertise and reliability. It assures me that you not only excel at your job but are also recognized by others for your contributions.

Connect role to larger mission

Expressing excitement to use data for enhancing user experiences at Spotify shows you understand the bigger picture. It’s a good sign that you're thinking about how your work fits into the company’s overall goals.

End with enthusiastic willingness to contribute

Your eagerness to bring your skills to Spotify and support its mission is the perfect wrap-up. It leaves me with a strong impression of your motivation and potential fit within the company.

Connect personal interest with professional goals

Sharing a personal story that relates to the company's work is a strong start. It shows you have a genuine interest in what the company does.

Highlight specific data science skills and achievements

Talking about your skills in machine learning and statistical modeling, and linking them to real impacts you've had, makes your expertise clear.

Show your project impact as a data scientist

Describing how you improved product discoverability and sales with a recommendation engine demonstrates your ability to drive results.

Express admiration for the company's values

Highlighting what you admire about the company, especially its use of data for user benefit, aligns your values with theirs.

Close with a forward-looking note

Ending your letter by expressing eagerness to discuss your contribution shows you're outcome-focused and ready to engage.

Senior Data Scientist Cover Letter Example

Establish your expertise.

This sentence is straightforward and effective. By stating your firm understanding of data analysis, predictive modeling, and machine learning techniques, you're asserting your competence in key areas relevant to the role. It gives me confidence in your ability to deliver results, because you're not just saying you're good at your job, you're telling me exactly what you're good at.

Emphasize Leadership and Relevant Experience

In this sentence, you’re highlighting two important qualities for a Senior Data Scientist role - leadership and expertise in machine learning. By sharing that you've led diverse teams and created effective machine learning models, you’re giving me a peek into your capacity to both lead and collaborate. Plus, the fact that you're tying these skills to Amazon's customer-centric mission tells me that you understand our company's values and goals.

Highlight your alignment with company values

Showing that you've been following the company's progress and are impressed by their work demonstrates you've done your homework and are committed to their cause, which is a great way to start your letter on a positive note.

Demonstrate impact through achievements

Using specific examples of your work, like developing a high-accuracy machine learning model, showcases your ability to deliver results and make a significant impact, proving your value as a candidate.

Emphasize leadership and mentorship

Highlighting your experience in guiding junior team members and fostering a learning environment shows you're not just a team player, but also someone who can drive growth and innovation within the team.

Communicate your excitement

Expressing your eagerness to leverage your expertise at the new company conveys enthusiasm and a forward-thinking attitude, traits that are attractive to employers looking for candidates who can advance their mission.

Request a conversation

Asking to discuss how your skills and experience align with the company's goals is a proactive move that signals your readiness to contribute and your interest in becoming part of their team.

Connect your passion with the job

Mentioning your immediate connection with the job shows that your interests align well with what the company does, making you a potentially great fit.

Show your data science impact

Describing a specific project where your work led to significant savings demonstrates your ability to deliver real, measurable results.

Highlight protection through innovation

By talking about your contribution to fraud reduction, you illustrate your capability to solve critical problems through innovative solutions.

Detail your attraction to the company’s challenges

Expressing enthusiasm for solving the company’s specific problems shows you have a clear understanding of what the job entails and are excited by those challenges.

Express eagerness to contribute

Ending with a statement of eagerness to apply your expertise underlines your proactive attitude and readiness to make an impact.

Start with a defining moment in your career

Opening with an anecdote about discovering the power of data during an internship is a compelling way to begin. It shows your passion for the field.

Detail leadership and its results

Highlighting your role in leading a team to develop a profitable model showcases your leadership and the tangible value you bring.

State your attraction to the company's innovation

Explaining why the company's commitment to technology speaks to you makes your interest in them feel more personal and informed.

Connect personal experience with professional insight

Using your experience as a customer to underline your understanding of the company adds a unique, personal touch to your application.

End with enthusiasm for contributing to the company's future

Concluding by affirming your desire to apply your skills towards the company's success leaves a lasting, positive impression.

Lead Data Scientist Cover Letter Example

Framing your achievements.

When you talk about how you saved a project, you're telling a story. You're showing how you faced a challenge, used your skills to overcome it, and made a significant impact. This shows initiative and resilience, both of which are valuable traits in a lead data scientist.

Combining leadership and technical skills

By discussing how you led a team while also showcasing your technical acumen, you're demonstrating that you're not just a strong individual contributor – you're also a reliable guide for others. This ability to balance technical mastery with team management is crucial for a lead role.

Engagement with the company vision

Expressing enthusiasm about leading IBM's data science initiatives shows that you're not just applying for a job, you're looking to be a part of the company's journey. This also indicates that you're ready to take on the challenges that come with a leadership role.

Expressing your intent clearly

Mentioning that you're looking forward to bringing your strategic vision, technical expertise, and leadership capabilities to IBM speaks volumes about your commitment. Hiring managers will appreciate this clear and direct expression of your intent.

A respectful and forward-looking conclusion

A cover letter should always end on a positive note. Thank the hiring manager for their time and express eagerness for future discussions. It's a sign of respect, and it keeps the door open for further communication.

Data Science Manager Cover Letter Example

Show genuine enthusiasm for the data science manager role.

Starting your cover letter with genuine excitement about the job and company sets a positive tone. It tells me you've done your homework and you're not just looking for any job, but this specific role at our company.

Quantify your achievements

When you mention specific percentages to show how your work improved business outcomes, it makes your accomplishments tangible and relatable. It demonstrates that you measure success, a key skill for a data science manager.

Highlight leadership in data science

Talking about your leadership experience is crucial. It shows me that you're not just technically skilled but also capable of guiding a team towards achieving common goals, a must-have for a managerial position.

By stating your excitement to apply your skills and experience towards our company's mission, you're signaling a proactive and goal-oriented mindset. It suggests you're ready to hit the ground running and make an impact.

Close with an open invitation

Ending your cover letter by welcoming further discussion is a polite and effective way to signal your openness for an interview. It shows you're eager for the next step in the process.

Lead with your leadership philosophy

Starting your cover letter by sharing your leadership approach in data science management shows that you understand the importance of team dynamics beyond technical skills. This sets a strong foundation for the rest of your message.

Quantify your achievements in data science

When you mention specific results, like reducing costs by 30% and increasing efficiency by 25%, it immediately gives a clear, measurable impact of your work. This not only demonstrates your capability but also how you can be a valuable asset to the team.

Expressing what excites you about the company’s use of data science to foster connections shows that you've done your homework and are genuinely interested in contributing to their mission. It illustrates your alignment with their values and your motivation for applying.

Highlight your commitment to team growth

Emphasizing your passion for creating an inclusive and collaborative environment reflects your leadership qualities and your dedication to team development. This is appealing to employers who value not just technical skills but also how you cultivate talent.

End on a note of enthusiasm for the role

Closing your cover letter with a statement of excitement about the opportunity to lead and contribute further indicates your eagerness and readiness for the position. This reinforces your interest and leaves a positive impression on the reader.

Machine Learning Engineer Cover Letter Example

Align your interests with the company.

Stating that the role feels like the perfect fit for your skills and interests immediately sets a positive tone and shows that you’ve thought about your compatibility with the company.

Demonstrate model development success

Discussing your experience with developing and deploying models that had a direct business impact shows you have practical skills and a track record of success.

Lead with teamwork and innovation

Sharing experiences of leading a team to achieve a common goal highlights your leadership skills and your ability to drive projects forward.

Express excitement for specific challenges

Showing a keen interest in tackling specific technical challenges at the company indicates that you are not only qualified but genuinely interested in the work they do.

Close with enthusiasm for the role

A strong closing statement reiterates your interest in the position and your belief in your ability to contribute meaningfully to the company’s mission.

Alternative Introductions

If you're struggling to start your cover letter, here are 6 different variations that have worked for others, along with why they worked. Use them as inspiration for your introductory paragraph.

Cover Letters For Jobs Similar To Data Scientist Roles

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Thank you for the checklist! I realized I was making so many mistakes on my resume that I've now fixed. I'm much more confident in my resume now.

Professional Entry-Level Data Scientist Cover Letter Examples for 2024

Your entry-level data scientist cover letter should highlight your passion for data science and analytics. Demonstrate a solid foundation in statistical methods and machine learning techniques. Showcase any relevant academic or project experience, and don't forget to emphasize your problem-solving abilities. It's crucial to illustrate how you can translate data insights into actionable business strategies.

Cover Letter Guide

Entry-Level Data Scientist Cover Letter Sample

Cover Letter Format

Cover Letter Salutation

Cover Letter Introduction

Cover Letter Body

Cover Letter Closing

No Experience Entry-Level Data Scientist Cover Letter

Key Takeaways

Embarking on your data scientist career journey, you're ready to apply for jobs, and as you scan through the requirements, you notice a cover letter is often a must. Crafting this one-page introduction shouldn't be a resume echo; it's your chance to narrate your proudest professional achievement with sincerity, dodging those overused clichés. This guide empowers you to compose a compelling entry-level data scientist cover letter that portrays the unique story behind your biggest successes.

• Introduce your profile to catch recruiters' attention;
• Use professional templates and examples to make sure your entry-level data scientist cover letter follows the best industry standards;
• Settle on your most story-worthy achievement to shine a light on what makes your application unique;
• Write a entry-level data scientist cover letter, even when you lack professional experience.

Ready to start with the basics: upload your resume to Enhancv's AI, below, to see the entry-level data scientist cover letter it would write for you.

If the entry-level data scientist isn't exactly the one you're looking for we have a plethora of cover letter examples for jobs like this one:

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Entry-Level Data Scientist cover letter example

Carla Jensen

Washington, USA

+1-(234)-555-1234

[email protected]

• Emphasizing relevant project experience, such as leading a data analytics project at a major company like Google, demonstrates the ability to apply skills in a real-world business context, which is crucial for a Data Scientist role.
• Quantifying achievements (e.g., reducing operational time by 15%, increasing lead generation by 10%) is powerful, as it provides concrete evidence of the candidate's impact and effectiveness in their previous positions.
• Expressing willingness to discuss the alignment of the candidate's background and skills with the organization's goals highlights a proactive mindset and genuine interest in contributing to the company's success.
• Outlining specific technical skills (e.g., statistical analysis, data model implementation) directly addresses the key competencies necessary for a Data Scientist and reassures the prospective employer of the candidate's capability in these areas.

What about your entry-level data scientist cover letter format: organizing and structuring your information

Here is one secret you should know about your entry-level data scientist cover letter assessment. The Applicant Tracker System (or ATS) won't analyze your cover letter.

You should thus focus on making an excellent impression on recruiters by writing consistent:

• Introduction
• Body paragraphs (and explanation)
• Promise or Call to action
• Signature (that's optional)

Now, let's talk about the design of your entry-level data scientist cover letter.

Ensure all of your paragraphs are single-spaced and have a one-inch margins on all sides (like in our cover letter templates ).

Also, our cover letter builder automatically takes care of the format and comes along with some of the most popular (and modern) fonts like Volkhov, Chivo, and Bitter.

Speaking of fonts, professionals advise you to keep your entry-level data scientist cover letter and resume in the same typography and avoid the over-used Arial or Times New Roman.

When wondering whether you should submit your entry-level data scientist cover letter in Doc or PDF, select the second, as PDF keeps all of your information and design consistent.

The top sections on a entry-level data scientist cover letter

• Header: Include your contact information, the date, and the employer's contact information to ensure the recruiter can easily follow up with you.
• Greeting: Address the recruiter or hiring manager by name to personalize your cover letter and demonstrate attention to detail.
• Introduction: Begin with a strong opening that outlines your enthusiasm for data science and introduces your background as it relates to the position.
• Body: Detail your relevant experience, particular data science projects, and the technical skills you possess, such as proficiency in programming languages and data analysis, to showcase your suitability for the role.
• Closing: Reaffirm your interest in the position, express your availability for an interview, and thank the recruiter for considering your application to convey professionalism and eagerness to join their team.

Key qualities recruiters search for in a candidate’s cover letter

• Strong proficiency in programming languages such as Python or R: Vital for handling data processing, analysis, and machine learning tasks.
• Knowledge of data manipulation and analysis tools like SQL, pandas, and NumPy: Necessary for efficient data cleaning, transformation, and extraction of insights.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch: Demonstrates the ability to apply predictive models and advanced analytics in practical scenarios.
• Understanding of statistical analysis and mathematical modeling: Fundamental for interpreting data correctly and ensuring analytical rigor.
• Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Tableau: Helps in presenting data insights in a comprehensible manner for stakeholders.
• Strong problem-solving skills and a critical thinking mindset: Essential for hypothesizing and testing data-driven solutions to complex business problems.

Kick off your entry-level data scientist cover letter: the salutation or greeting

When writing your entry-level data scientist cover letter, remember that you're not writing for some complex AI or robot, but for actual human beings.

And recruiters, while on the lookout to understand your experience, would enjoy seeing a cover letter that is tailored to the role and addresses them . Personally.

So, if you haven't done so, invest some time in finding out who's the hiring manager for the role you're applying to. A good place to start would be LinkedIn and the corporate website.

Alternatively, you could also get in touch with the company to find out more information about the role and the name of the recruiter.

If you haven't met the hiring manager, yet, your entry-level data scientist cover letter salutation should be on a last-name basis (e.g. "Dear Mr. Donaldson" or "Dear Ms. Estephan").

A good old, "Dear HR Professional" (or something along those lines) could work as your last resort if you're struggling to find out the recruiter's name.

List of salutations you can use

• Dear Hiring Manager,
• Dear [Specific Department] Team,
• Dear [Company Name] Recruiter,
• Dear Mr./Ms. [Last Name],
• Respected [Job Title] Hiring Committee,
• Dear [Job Title or Department] Search Committee,

Using your entry-level data scientist cover letter intro to show your dedication

We know just how difficult it is to start writing your entry-level data scientist cover letter introduction .

There are so many great qualities you have as a professional, which one should you choose?

How about writing up to two sentences about your passion and commitment to the work you do or are set to do?

Try to describe exactly what you enjoy about the potential role.

A positive attitude from the get-go will help you stand out as a motivated entry-level data scientist professional.

What to write in the body of your entry-level data scientist cover letter

Now that you've got your intro covered, here comes the heart and soul of your entry-level data scientist cover letter.

It's time to write the middle or body paragraphs . This is the space where you talk about your relevant talent in terms of hard skills (or technologies) and soft (or people and communication) skills.

Keep in mind that the cover letter has a different purpose from your entry-level data scientist resume.

Yes, you still have to be able to show recruiters what makes your experience unique (and applicable) to the role.

But, instead of just listing skills, aim to tell a story of your one, greatest accomplishment.

Select your achievement that:

• covers job-crucial skills;
• can be measured with tangible metrics;
• shows you in the best light.

Use the next three to six paragraphs to detail what this success has taught you, and also to sell your profile.

Final words: writing your entry-level data scientist cover letter closing paragraph

The final paragraph of your entry-level data scientist cover letter allows you that one final chance to make a great first impression .

Instead of going straight to the "sincerely yours" ending, you can back up your skills with a promise of:

• how you see yourself growing into the role;
• the unique skills you'd bring to the organization.

Whatever you choose, always be specific (and remember to uphold your promise, once you land the role).

If this option doesn't seem that appealing to you, close off your entry-level data scientist cover letter with a follow-up request.

You could even provide your availability for interviews so that the recruiters would be able to easily arrange your first meeting.

Addressing limited to no experience in the entry-level data scientist cover letter

There's nothing to worry about if you lack professional experience .

Your entry-level data scientist cover letter could bridge the gaps in your professional history by focusing on what matters most to recruiters, that's either:

• skills - focusing on transferable ones you've gained, thanks to your life experience (e.g. volunteering, certificates, etc.);
• achievements - select the most relevant and noteworthy one from your history (e.g. education, projects, etc.);
• motivation - describe how you envision your professional growth in the next up to five years, thanks to this opportunity.

Key takeaways

Your entry-level data scientist cover letter is your best shot at standing out by showing your motivation and the unique skills you'd bring to the job:

• Chose no more than one achievement, which you'd be talking about in the body of your entry-level data scientist cover letter, by focusing on skills and outcomes;
• Address recruiters with their first or last name, or "Dear Hiring Manager" in your entry-level data scientist cover letter greeting;
• Introduce in no more than two sentences what makes your profile unique (perhaps it's your motivation, enthusiasm, or appreciation of the company you're applying for);
• Select the same font you have used in your resume (avoid Times New Roman and Arial, as most candidates tend to invest in them);
• Close your entry-level data scientist cover letter with a promise of how you see yourself growing in the company and the benefits you'd bring about.

Cover letter examples by industry

AI cover letter writer, powered by ChatGPT

Enhancv harnesses the capabilities of ChatGPT to provide a streamlined interface designed specifically focused on composing a compelling cover letter without the hassle of thinking about formatting and wording.

• Content tailored to the job posting you're applying for
• ChatGPT model specifically trained by Enhancv
• Lightning-fast responses

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Home / Cover Letter Examples / Data Scientist Cover Letter Sample

Sample Data Scientist Cover Letter and Advice from HR Pros

This Data Scientist sample cover letter is here to give you ideas and inspiration to complete your application and get the job you’ve been dreaming about. Right down below, you will see a full sample cover letter. And further down, we will go over each section of the sample cover letter , explaining each part in more detail.

Cover letter header

The header is the simplest part of your cover letter — but this doesn’t make it any less important. As it’s the easiest section to write, it’s a good way to get yourself started if you feel like you are stuck with the main sections.

Your header should include your full name and relevant credentials, such as CAP, CCA, CCP, DASCA, SDS, PDS, etc. You can add your home address or, alternatively, just the name of your city. Add the preferred way in which you’d like to be contacted: your phone number, email address or both. It's also recommended that you include a link to your account on professional social media — LinkedIn , GitHub , etc. It’s also a good idea to add the current date as this will show that the cover letter has been written recently.

Cover letter greeting

It’s best if you start your cover letter by addressing the hiring manager by name. If you can find the name of the person you are sending the application to (via the company’s website, LinkedIn page, etc.), use it in your cover letter greeting. If you are addressing the hiring manager by their last name and they are a female, it’s best to use Ms. instead of Mrs. or Miss.

If you can’t find the name, you can start the letter with something like “Dear Hiring Team” or “Dear Hiring Manager”. It’s best to avoid “To whom it may concern” as this form of address is considered to be outdated.

Cover letter introduction

In this section, you should get the HR manager interested in reading the rest of your cover letter and looking at your CV. Start with your best features and key qualifications and mention why you believe that you are the perfect candidate for the posted job offer. Emphasize the skill set that you already have and how it aligns perfectly with what the company is looking for.

Cover letter middle paragraphs

After a powerful introduction, go on to explain in more detail what practical value you can bring to the team. Here, you should show that you are well aware of all the responsibilities and tasks of being a data scientist and will be able to handle them. A good idea here would be to provide examples from your previous positions in the same role that demonstrate your skills and professionalism. You can present the most telling examples as a bulleted list so they “jump off” the page.

Avoid using vague language and generic phrases. Instead, give specific examples and references to show why you are the right person for the job. It’s a good place to explain what has driven you into the profession and what you love most about your work. You can also briefly touch on your career plans and what you are looking to gain from the experience of working for this company.

Keep this section of your resume short and to the point — just two or three paragraphs. Focus on the most important information and leave the generalities out of it.

Cover letter conclusion and sign-off

This is the part for a call to action. You can once again point out why you consider yourself to be a good candidate for the job. Then, you can add when you will be available to start or when you can come out for an interview. Mention that you will be waiting for feedback on your resume. Make sure to thank the hiring manager for their time in reading your letter.

Cover letter signature

For signature, you can repeat the same information you’ve used in the header. Or, you can add an additional way to contact you. Just like in the header, start with your full name and credentials.

We hope our guide has been helpful. If you are looking for more information on how to perfect your application, check out our Resume Writing Tips and Examples .

• Career Advice
• Cover Letters

Data Scientist Cover Letter

A data scientist cover letter highlights your level of education, experience collecting and interpreting large volumes of data, and your ability to create actionable goals from data. It brings the reader's attention to the most compelling parts of your resume and should match your skills with those mentioned in the job posting.

Data Scientist Cover Letter Template:

Download this template in Microsoft Word format and follow the prompts to make an engaging data scientist cover letter.

Data Scientist Cover Letter Sample:

[Full Name]

[Physical Address]

[Telephone Number]

[Email Address]

Application for the position of Data Scientist.

Dear [Recipient’s Name] ,

I am writing to apply for the data scientist position at [the company’s name] . My excellent analytical and problem-solving skills, advanced knowledge of applied mathematics and statistics, and level of education make me perfect for this position.

I have a [qualification] from [institution] , [location of institution] , and [number of years] years of experience collecting, cleaning, and interpreting data. As per the requirements for the position at [company] , you will notice in my resume that I [mention skills, competencies, or experiences that answer directly to the requirements listed in the data scientist job posting] .

In my previous role at [company] , I [discuss your core responsibilities] . In [year] , I lead a team [talk about a major accomplishment] . During my time at the company, I have learned [what have you learned and how have your skills improved] .

I am thrilled to be applying to [company] because I admire your [name two or three things you know about the company in general that you like] . As the data scientist, my unwavering curiosity, honed creativity, and proficiency with writing algorithms will be of the greatest benefit to [company] .

Please find my resume attached. Feel free to contact me via email or phone call if I can be of any further service.

Thank you for taking the time to consider my application. I look forward to hearing from you.

[Your Name]

How to Write a Data Scientist Cover Letter:

A step-by-step guide on how to write the perfect data scientist cover letter for your next job application.

Address your letter.

Address the hiring manager directly..

Address your data scientist cover letter to the hiring manager or the person who posted the job ad. This will indicate that you have a personal interest in the company.

Avoid using generic greetings.

Using "To whom it may concern" is no longer considered professional. It is better to find out the name of the addressee and use an appropriate title before their name, such as Mr., Ms., or Dr. For example, "Dr. Dodson" or "Ms. Ellis."

Start with a brief introduction.

Make your intentions clear..

In no more than three sentences , tell the person why you are writing and what position you are applying for. Use one sentence to state clearly that you feel your knowledge and experience make you the best person for the position

Highlight your strengths.

Highlight your strongest attributes here. You might want to mention your excellent analytical skills or your advanced knowledge of statistics.

Showcase your qualifications and experience

List your qualifications first..

Write a few sentences on your qualifications, only mentioning those that pertain to the job you are applying for.

Discuss your employment history.

Mention how many years you've worked as a data scientist. Then, bring attention to your resume and discuss those skills you have that match the requirements listed in the job ad. These may include advanced machine learning and programming, experience using data visualization tools and mathematical software, and your understanding of linear algebra.

Discuss your most recent role and responsibilities.

Expand on your current or previous role..

In a few sentences , unpack your current or previous role and how it has prepared you for the job you are applying for.

Highlight your responsibilties.

When you discuss your current or previous role, highlight your key responsibilities and requirements that correspond to the job you are applying for. These may include automating processes, meeting with teams, developing mathematical models, researching solutions, and communicating complex ideas.

Celebrate the organization

Tell them why you want to work there..

Mention two or three things you know about the company you're applying to and why being a data scientist would excite you.

State how you will add value.

State how you will add value to the organization by mentioning, for example, your excellent communication skills, advanced understanding of data querying languages, etc.

End with a call to action.

Provide an opportunity for feedback..

Say that you've attached your resume for their consideration and invite the reader to contact you via email or phone call.

Close your letter.

Thank the reader for their time. Add "sincerely" or an acceptable synonym and sign off with your full name.

What is the purpose of a data scientist cover letter?

The purpose of a data scientist cover letter is to introduce yourself, explain why you've sent a resume, and highlight the most compelling parts of your resume.

How do you write a data scientist cover letter?

• Find out the name of the addressee and address the letter accordingly .
• Write an introduction of a few sentences on why you are writing and why you are the best choice for the position.
• Give a paragraph to your qualifications and experience .
• In another paragraph, write about your current or previous role as a data scientist.
• Use the next few sentences, in a new paragraph, to say why you want to work at the company.
• Then, draw attention to your resume and ask the person to read it .

How long should a data scientist cover letter be?

A data scientist cover letter should be no longer than one page.

How do you start a data scientist cover letter?

Start your data scientist cover letter by telling the person why you are writing and what position you are applying for. Then, in one sentence, explain why you are the best fit for the position by highlighting your strongest attributes.

Who do you address a data scientist cover letter to?

It is best to find out the name of the hiring manager or the name of whoever posted the data scientist job posting and address your letter to them using an appropriate title such as "Ms." or "Dr."

What skills should I mention in my data scientist cover letter?

It is very important that you read the skills requirements listed in the job ad for a data scientist position. You'll want to match your skills with those mentioned in the ad. Some of these may include 5+ years of industry experience, advanced coursework in machine learning, multi-variable calculus, experience using data visualization tools, etc.

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Data engineer resume, data analyst resume, data analyst cover letter, big data engineer resume, data scientist job description.

Data Scientist cover letter examples

You’ve got a strong foundation in maths, statistics and programming, but do you have a cover letter that reflects this?

Selling your impressive skills and experience in just a few short paragraphs is never easy, but using our top tips and advice below, we can make it much easier.

We’ve also created some data scientist cover letter examples to inspire your own.

CV templates 

Data Scientist cover letter example 1

Build your CV now 

Data Scientist cover letter example 2

Data Scientist cover letter example 3

These 3 Data Scientist cover letter examples will provide you with some good ideas on how to format a cover letter, along with the type of message you should be trying to put across to recruiters .

To further understand exactly how you can write a cover letter that will get you noticed, check out our further guidance.

How to write a Data Scientist cover letter

Here’s a simple process to write your own interview-winning cover letter.

Write your cover letter in the body of an email/message

When you send a cover letter with a job application, you should always write your message into the body of your email – or the body of the messaging system if you are sending via a job website.

Why do this?

Simply because you want to get your message seen as soon as the recruiter opens your application.

If you attach the cover letter as a separate item, this means the recipient will have to open it before they can read it – slowing down the process and potentially causing frustration along the way.

So, write your cover note in the body of your email/message to ensure you make an instant connection with the reader.

Start with a friendly greeting

To kick your cover letter off, start with a friendly greeting to build rapport with the recruiter instantly.

Your greeting should be personable but professional. Not too casual, but not too formal either

Go with something like…

• Hi [insert recruiter name]
• Hi [insert department/team name]

Avoid old-fashioned greetings like “Dear sir/madam ” unless applying to very formal companies.

How to find the contact’s name?

Addressing the recruitment contact by name is an excellent way to start building a strong relationship. If it is not listed in the job advert, try these methods to find it.

• Check out the company website and look at their  About page. If you see a hiring manager, HR person or internal recruiter, use their name. You could also try to figure out who would be your manager in the role and use their name.
• Head to LinkedIn , search for the company and scan through the list of employees. Most professionals are on LinkedIn these days, so this is a good bet.

Identify the role you are applying for

Now that you have warmed the recruiter up with a friendly greeting, firstly you need to let them know which role you are applying for.

Sometimes a recruitment consultant will be juggling 10 or 10 vacancies, so it’s important to specify which one you are applying to.

Give us much detail as possible (team/department, role title etc.) and paste in the reference number if you have one.

Here are some examples you can use.

• I am interested in applying for the role of Data Scientist with your company.
• I would like to apply for the role of Sales assistant (Ref: 40f57393)
• I would like to express my interest in the customer service vacancy within your retail department
• I saw your advert for an IT project manager on Reed and would like to apply for the role.

See also: CV examples – how to write a CV – CV profiles

Highlight your suitability

The bulk of your cover letter should be focused around highlighting your suitability for the job you are applying to.

Doing this will show the recruiter that you are suitable candidate and encourage them to open your CV.

The best way to do this, is by studying the job advert you are applying to, and find out what the most important skills and knowledge are.

Once you know the most important requirements, you then need to highlight your matching skills to the recruiter. In a few sentences, tell them exactly why you are a good fit for the job and what you can offer the company.

Keep it short and sharp

It is best to keep your cover letter brief if you want to ensure you hold the attention of busy recruiters and hiring managers. A lengthy cover letter will probably not get read in full, so keep yours to around 3-6 sentences and save the real detail for your CV.

Remember the purpose of your cover letter is to quickly get recruiters to notice you and encourage them to open your CV, so it only needs to include the highlights of your experience.

Sign off professionally

To round of your cover letter, add a professional signature to the bottom, giving recruiters your vital contact information.

This not only gives various means of contacting you, it also looks really professional and shows that you know how to communicate in the workplace.

Include the following points;

• A friendly sign off – e.g. “Warm regards”
• Your full name
• Phone number (one you can answer quickly)
• Email address
• Profession title
• Professional social network – e.g. LinkedIn

Here is an example signature;

Warm regards,

Gerald Baker Senior Accountant 07887500404 [email protected] LinkedIn

Quick tip : To save yourself from having to write your signature every time you send a job application email, you can save it within your email drafts, or on a separate document that you could copy in.

What to include in your Data Scientist cover letter

So, what type of information should you write about in your Data Scientist cover letter?

The specifics will obviously depend on your profession and the jobs you are applying to, but these are the key areas you should be covering.

• Your industry experience – Tell recruiters the types of companies you have been working for and the roles you have held in the past.
• Your qualifications – Highlight your most important relevant qualifications to show employers you are qualified to do the roles you are applying for.
• The impact you have made – Demonstrate the positive impact you have made for employers in previous jobs. Have you saved money? Improved processes? Made customers happy?
• Your reasons for moving – Employers will want to know why you are leaving your current/previous role, so provide them with a brief explanation here.
• Your availability – When will you be able to start a new job ? Check your current contract to find out your notice period if you are in a position already.

Data Scientist cover letter templates

Copy and paste these Data Scientist cover letter templates to get a head start on your own.

I hope this email finds you well.

As a highly capable data science student with a passion for data processing and innovation, I am excited to apply for the Junior Data Scientist position at Sampson Financial.

I am currently pursuing a Bachelor of Science in Data Science at Manchester University, where I’ve honed my skills in SQL coding, report writing, and procedure innovation. During my 3-month internship at Fife, a leading financial services company, I contributed to the development of data capture systems, generated queries, created spreadsheets, and presented findings. My SQL proficiency allowed me to develop cloud monitoring code, which significantly improving project proposals. I identified procedural inefficiencies and proposed a streamlined data entry technique, resulting in a remarkable 14% increase in data processing efficiency.

I am eager to leverage my skills to contribute to Sampson Financials’ data-driven initiatives. Thank you for considering my application and I am available for interview at your convenience.

All the best,

Charly McKinnon ¦ 07777777777 ¦ [email protected]

Hey Martin,

I hope all is well with you.

I writing to apply for the Data Scientist position at Lanez International. My proven track record in designing data processing systems supported by an MSc in Data Science and ICCP certification make me an ideal candidate for this role.

In my current role at SanTech, I led the migration of 24 legacy ETL processes to the AWS cloud platform, enhancing scalability and reducing maintenance. Additionally, I developed an automated data archiving strategy, reducing storage costs by 40% and improving query performance.

With over 15 years of experience in the data science field, I am highly skilled in managing and streamlining large, multi-site servers and developing SQL Server Reporting Services (SSRS) reports. My work at ASDA involved monitoring and maintaining high-load databases and curating data for the product development team which I would apply to this role.

Thank you for considering my application and I am available for interview from next week.

Kind regards,

Billie Butler ¦ 07777777777 ¦ [email protected]

I hope you’re well.

I am writing to apply for the Senior Data Scientist position at M&S, where my data science expertise and track record of driving data optimisation align perfectly with your growth-focused organisation.

During my tenure as a Data Scientist at NT Solutions, I lead strategic data science engagements, developing algorithms and systems that support new product creation, spurring company expansion. Notably, in 2019 I spearheaded a secure data collection system, setting an industry precedent for commercial use in the UK. I streamlined analytics which reducing routine tasks by 70%, showcasing my commitment to efficiency. During my time as a Junior Data Scientist at Sainsbury’s, I contributed to modelling efforts using Python and generated regular data analytics reports which has given me a good foundation to train junior staff correctly as well as communicating complex data insights to non-expert clients.

With 19 years of experience in the retail sector and an MA in Data Science, I am confident in contributing significantly to your growth objectives and I am available for an interview at your convenience.

Kelly Traynor ¦ 07777777777 ¦ [email protected]

Writing an impressive cover letter is a crucial step in landing a Data Scientist job, so taking the time to perfect it is well worth while.

By following the tips and examples above you will be able to create an eye-catching cover letter that will wow recruiters and ensure your CV gets read – leading to more job interviews for you.

Good luck with your job search!

Data Scientist Cover Letter Example for 2024 (Skills & Templates)

Create a standout data scientist cover letter with our online platform. browse professional templates for all levels and specialties. land your dream role today.

Welcome to our Data Scientist Cover Letter Guide! Applying for any job can be a daunting task, but writing a strong cover letter can make a big difference. Here, we provide you with the essential tips and tricks you need to make sure your cover letter stands out from the competition.

We will cover:

• How to write a cover letter, no matter your industry or job title.
• What to put on a cover letter to stand out.
• The top skills employers from every industry want to see.
• How to build a cover letter fast with our professional Cover Letter Builder .
• What a cover letter template is, and why you should use it.

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Data Scientist Cover Letter Sample

Attn: Hiring Manager

Dear Hiring Manager,

I am writing to apply for the position of Data Scientist. With my experience in data engineering and analysis, I believe I am a great fit for the job.

I have a Master’s degree in Computer Science from the University of California, Berkeley, which has helped me acquire the necessary skillset to succeed in a data scientist role. I have also worked extensively with data engineering and analysis tools such as Python, R, and Tableau. With these skills, I have been able to develop efficient data models and solutions that have helped organizations make informed decisions.

I have extensive experience in data engineering and analysis, as I have worked as a Data Analyst for the past four years. During this time, I have been responsible for developing data models, analyzing data, and creating reports. I have also worked closely with stakeholders to ensure that the data is being used efficiently. Additionally, I have also worked on multiple projects that require data analysis, such as customer segmentation, predictive modeling, and data visualization.

I believe my experience and skills make me an ideal candidate for this position. I am confident that I can use my expertise to help your organization succeed. I am excited to discuss my qualifications further in an interview.

Thank you for your consideration.

Sincerely, [Your Name]

Why Do you Need a Data Scientist Cover Letter?

A Data Scientist cover letter is an essential part of the job application process. It is an opportunity for you to demonstrate your understanding of the job and to highlight your qualifications and experience that make you an ideal candidate. Here are some reasons why you need a Data Scientist cover letter:

• It is a chance to showcase your skills and experience in data science.
• It can help you stand out from other applicants.
• It allows you to explain why you are the best fit for the role.
• It provides a platform to demonstrate your knowledge of the company and its products.
• It helps to show your enthusiasm for the job.

A Few Important Rules To Keep In Mind

• Start your letter by introducing yourself and the position you’re applying for.
• Outline your experience, education, and skills that make you a great fit for the role.
• Explain why you’re passionate about the data science field and why you specifically want to work with the company.
• Highlight your accomplishments and any awards you’ve earned that are relevant to the job.
• Describe any relevant projects you’ve done and the impact they had.
• Include any relevant certifications or training, such as a formal data science program.
• End the letter by thanking the reader for their time and expressing your enthusiasm for the role.
• Proofread the letter for any spelling or grammar errors.

What's The Best Structure For Data Scientist Cover Letters?

After creating an impressive Data Scientist resume , the next step is crafting a compelling cover letter to accompany your job applications. It's essential to remember that your cover letter should maintain a formal tone and follow a recommended structure. But what exactly does this structure entail, and what key elements should be included in a Data Scientist cover letter? Let's explore the guidelines and components that will make your cover letter stand out.

Key Components For Data Scientist Cover Letters:

• Your contact information, including the date of writing
• The recipient's details, such as the company's name and the name of the addressee
• A professional greeting or salutation, like "Dear Mr. Levi,"
• An attention-grabbing opening statement to captivate the reader's interest
• A concise paragraph explaining why you are an excellent fit for the role
• Another paragraph highlighting why the position aligns with your career goals and aspirations
• A closing statement that reinforces your enthusiasm and suitability for the role
• A complimentary closing, such as "Regards" or "Sincerely," followed by your name
• An optional postscript (P.S.) to add a brief, impactful note or mention any additional relevant information.

Cover Letter Header

A header in a cover letter should typically include the following information:

• Your Full Name: Begin with your first and last name, written in a clear and legible format.
• Contact Information: Include your phone number, email address, and optionally, your mailing address. Providing multiple methods of contact ensures that the hiring manager can reach you easily.
• Date: Add the date on which you are writing the cover letter. This helps establish the timeline of your application.

It's important to place the header at the top of the cover letter, aligning it to the left or center of the page. This ensures that the reader can quickly identify your contact details and know when the cover letter was written.

Cover Letter Greeting / Salutation

A greeting in a cover letter should contain the following elements:

• Personalized Salutation: Address the hiring manager or the specific recipient of the cover letter by their name. If the name is not mentioned in the job posting or you are unsure about the recipient's name, it's acceptable to use a general salutation such as "Dear Hiring Manager" or "Dear [Company Name] Recruiting Team."
• Professional Tone: Maintain a formal and respectful tone throughout the greeting. Avoid using overly casual language or informal expressions.
• Correct Spelling and Title: Double-check the spelling of the recipient's name and ensure that you use the appropriate title (e.g., Mr., Ms., Dr., or Professor) if applicable. This shows attention to detail and professionalism.

For example, a suitable greeting could be "Dear Ms. Johnson," or "Dear Hiring Manager," depending on the information available. It's important to tailor the greeting to the specific recipient to create a personalized and professional tone for your cover letter.

Cover Letter Introduction

An introduction for a cover letter should capture the reader's attention and provide a brief overview of your background and interest in the position. Here's how an effective introduction should look:

• Opening Statement: Start with a strong opening sentence that immediately grabs the reader's attention. Consider mentioning your enthusiasm for the job opportunity or any specific aspect of the company or organization that sparked your interest.
• Brief Introduction: Provide a concise introduction of yourself and mention the specific position you are applying for. Include any relevant background information, such as your current role, educational background, or notable achievements that are directly related to the position.
• Connection to the Company: Demonstrate your knowledge of the company or organization and establish a connection between your skills and experiences with their mission, values, or industry. Showcasing your understanding and alignment with their goals helps to emphasize your fit for the role.
• Engaging Hook: Consider including a compelling sentence or two that highlights your unique selling points or key qualifications that make you stand out from other candidates. This can be a specific accomplishment, a relevant skill, or an experience that demonstrates your value as a potential employee.
• Transition to the Body: Conclude the introduction by smoothly transitioning to the main body of the cover letter, where you will provide more detailed information about your qualifications, experiences, and how they align with the requirements of the position.

By following these guidelines, your cover letter introduction will make a strong first impression and set the stage for the rest of your application.

Cover Letter Body

I am writing to express my interest in the Data Scientist role at your company. With a background in data science, engineering, and analytics, I am confident that I am the ideal candidate for the position.

I have a strong understanding of data structures, algorithms, and software engineering, and am well versed in the use of analytical techniques to solve complex problems. I have extensive experience with data mining, predictive modeling, and machine learning. Additionally, I have a proven track record of success in using statistical techniques for data analysis, visualization, and interpretation.

I have a deep understanding of data-driven decision making and can quickly identify patterns in data. I am also well versed in data visualization techniques, and can create compelling visualizations to present data in a meaningful way. I am also proficient in programming languages such as Python, R, and SQL.

I am a highly organized, detail-oriented professional who is passionate about data science and analytics. I am a strong communicator who can explain complicated concepts to both technical and non-technical audiences in a clear and concise manner. I am also a natural collaborator and have experience working with cross-functional teams to deliver successful projects.

I am confident that my skills and experience make me the ideal candidate for this role. I look forward to speaking with you further about how I can contribute to the success of your team. Thank you for your time and consideration.

Complimentary Close

The conclusion and signature of a cover letter provide a final opportunity to leave a positive impression and invite further action. Here's how the conclusion and signature of a cover letter should look:

• Summary of Interest: In the conclusion paragraph, summarize your interest in the position and reiterate your enthusiasm for the opportunity to contribute to the organization or school. Emphasize the value you can bring to the role and briefly mention your key qualifications or unique selling points.
• Appreciation and Gratitude: Express appreciation for the reader's time and consideration in reviewing your application. Thank them for the opportunity to be considered for the position and acknowledge any additional materials or documents you have included, such as references or a portfolio.
• Call to Action: Conclude the cover letter with a clear call to action. Indicate your availability for an interview or express your interest in discussing the opportunity further. Encourage the reader to contact you to schedule a meeting or provide any additional information they may require.
• Complimentary Closing: Choose a professional and appropriate complimentary closing to end your cover letter, such as "Sincerely," "Best Regards," or "Thank you." Ensure the closing reflects the overall tone and formality of the letter.
• Signature: Below the complimentary closing, leave space for your handwritten signature. Sign your name in ink using a legible and professional style. If you are submitting a digital or typed cover letter, you can simply type your full name.
• Typed Name: Beneath your signature, type your full name in a clear and readable font. This allows for easy identification and ensures clarity in case the handwritten signature is not clear.

Common Mistakes to Avoid When Writing a Data Scientist Cover Letter

When crafting a cover letter, it's essential to present yourself in the best possible light to potential employers. However, there are common mistakes that can hinder your chances of making a strong impression. By being aware of these pitfalls and avoiding them, you can ensure that your cover letter effectively highlights your qualifications and stands out from the competition. In this article, we will explore some of the most common mistakes to avoid when writing a cover letter, providing you with valuable insights and practical tips to help you create a compelling and impactful introduction that captures the attention of hiring managers. Whether you're a seasoned professional or just starting your career journey, understanding these mistakes will greatly enhance your chances of success in the job application process. So, let's dive in and discover how to steer clear of these common missteps and create a standout cover letter that gets you noticed by potential employers.

• Not researching the company and position
• Not customizing the cover letter to the job description
• Using too much technical jargon
• Using a generic or outdated cover letter format
• Not highlighting relevant skills and experience
• Including irrelevant information
• Not proofreading the letter for errors
• Neglecting to include contact information
• Not following the instructions on the job posting

Key Takeaways For a Data Scientist Cover Letter

• Demonstrate technical expertise in data science, statistics, machine learning, and artificial intelligence in the data scientist cover letter.
• Highlight previous accomplishments and successes in data science.
• Discuss your experience in data-driven decision making, data analysis, and problem solving.
• Emphasize the importance of maintaining data integrity and security.
• Showcase your understanding of the latest trends and developments in data science.
• Describe your collaborative skills and the ability to work with cross-functional teams.
• Highlight your communication skills and the ability to explain complex data concepts to non-technical audiences.
• Provide evidence that you are a self-starter who can work independently.
• Explain your ability to handle large datasets with efficiency and accuracy.

Entry Level Data Scientist Cover Letter Example

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You should start your Entry Level Data Scientist cover letter by addressing the hiring manager directly, if possible. Then, introduce yourself and briefly mention your educational background and any relevant experience or projects. It's also important to express your interest in the role and the company. For example, "Dear [Hiring Manager's Name], I am excited to apply for the Entry Level Data Scientist position at [Company's Name]. As a recent graduate in Data Science from [Your University's Name], I have gained experience in data analysis and machine learning through various academic and personal projects. I am particularly drawn to [Company's Name] because of its innovative approach to data-driven decision making." This approach shows that you've done your research and are genuinely interested in the company and role.

The best way for Entry Level Data Scientists to end a cover letter is by summarizing their interest in the role and the value they can bring to the company. They should reiterate their enthusiasm for the data science field and express eagerness to contribute their skills and learn more. It's also important to thank the hiring manager for their time and consideration. For example: "I am excited about the opportunity to bring my unique blend of skills to your team and am confident that I can contribute to your projects. Thank you for considering my application. I look forward to the possibility of discussing this opportunity further." This ending is professional, courteous, and leaves a positive impression.

An entry-level data scientist's cover letter should include the following: 1. Introduction: Start with a brief introduction about yourself and your interest in the data science field. Mention the job you're applying for and where you found the job listing. 2. Education: Highlight your educational background, especially if you have a degree in a relevant field like Computer Science, Statistics, or Data Science. If you have taken any special courses or certifications related to data science, mention them here. 3. Skills: List your technical skills that are relevant to the job. This could include programming languages like Python or R, data analysis tools like SQL, or machine learning techniques. Also, mention any soft skills like problem-solving or communication that could be beneficial in a team setting. 4. Projects or Experience: Even as an entry-level applicant, you can discuss projects you've completed during your studies or in your own time. Describe what you did, the tools you used, and the results you achieved. If you've had internships or work experience, even if not directly related to data science, discuss the transferable skills you gained. 5. Passion for Data Science: Show your enthusiasm for data science. Discuss how you keep up-to-date with the latest industry trends, whether that's through reading relevant publications, attending conferences, or participating in online communities. 6. Conclusion: Conclude by expressing your interest in the role and the company. Mention how you could contribute to the company and how the role aligns with your career goals. Thank the reader for their time and express your hope for further discussion. Remember, the cover letter should not just repeat your resume. It should provide context and explain why you're a good fit for the role. Be concise, professional, and proofread carefully for any errors.

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Cover letters are the cherry toppings to your resume without a doubt!

And there is no arguing that it is the best companion for your resume during the job application process.

To apply for a job in technical fields like data science you need to make the best use of cover letters as it is not only restricted for use by other professionals in the field of marketing, sales, advertising, etc.

As a data science professional, you need a data scientist cover letter to elaborate on the information listed in your resume.

Read on to get more insights into how the perfect data scientist cover letter can be crafted with the help of tips and data scientist cover letter examples from our professionals.

You will also find answers to some of the most common questions asked around cover letters and data science profiles:

• How do you write a cover letter for data science?
• What kind of information should be added to a cover letter?
• What to avoid in a data scientist cover letter?
• What can a cover letter do for you?
• Does data scientist position require cover letter?

How to Create a Technical Data Scientist Cover Letter

Your data scientist cover letter should be drafted to give an insight into your data scientist resume by elaborating important points and details.

Writing a cover letter is an easy task!

The tricky part is trying to figure out what to include and avoid while ensuring that none of the important points are skipped.

Read on to check out what all information needs to be included in a cover letter for data scientist professionals.

What to Include in Your Data Scientist Cover Letter

Every information you enter in your cover letter should be of the utmost importance and significance.

You should also keep the following tips in mind while drafting your cover letter for data scientist job:

• Draft your cover letter on 1 page
• Limit your word count to 500-600 words
• Pick a design that is the same as your resume template design
• Choose professional fonts like Aria and Calibri
• Use 10-12 font size

While drafting a cover letter, one must simply ensure that the right kind of information is included in a suitable format to highlight all the important details.

Also Read: Importance of Picking Relevant Points From a Data Scientist Job Description

The Header of Your Data Scientist Cover Letter

The top section of your cover letter should include your name, profile title, and contact details as shown in the example below:

Adding the right contact details is a must because the hiring managers need to have the means to reach out to you for any possible shortlist or interview.

Here is a snapshot from one of our many data scientist cover letter examples illustrating the ideal way to frame the resume header:

Salutation in Your Data Science Cover Letter

Avoid starting your salutations with generic phrases such as "To whom it may concern" as it is no longer considered professional.

It is always better to find out the name of the addressee and use an appropriate title before their names, such as Mr., Ms., or Dr.

For example: "Mr. Hudson" or "Ms. Evelyn."

Doing so will signify that you have done your part of the research before sending out the cover letter and indicate the contribution of your personal touch while drafting the data science cover letter.

Start your data scientist cover letter by addressing the hiring manager as shown in the given snapshot:

From the example, you can see that only the required information is included in the greetings and is void of any unnecessary details.

Opening Paragraph of Your Data Scientist Cover Letter

Start your cover letter by stating your interest in the job profile and highlighting your strongest attributes and excellence in the targeted profile to stand out as a qualified applicant.

Doing so will make it easier for the recruiters to identify you as a suitable applicant for the said post and raise your chances of being shortlisted.

Data Scientist Cover Letter Opening Paragraph Example:

I am a detail-oriented Data Science Manager with a 5+ years track record of spearheading teams for diverse organizations and growth ventures. I am extremely interested in the profile of Data Science Manager at XYZ Inc with a keen interest in other relevant profiles around client interaction.

Highlight Your Technical Credentials and Skills

Stating your expertise in the data science domain can significantly have a positive impact on any job application.

Highlight your strongest attributes!

You might want to mention your excellent analytical skills or your advanced knowledge of statistics to be identified right away as the best applicant for the vacant job.

Limit your data scientist cover letter to 3-4 paragraphs and specify only the most significant contributions and achievements of yours over the years of professional experience.

Highlight your achievement figures and contributions for the recruiters to recognize your caliber right away. Doing so can help you make a positive impact on recruiters during job applications.

Example: In my earlier stint as a Data Analytics Consultant at Hornbill Consultancy, I deployed SGD, Random Forest, Logistic Regression, etc. for classification models and boosted the average click rate by 40%.

You can also list some of the major skills that every data scientist is required to possess as it can boost your chances of being identified as the perfect candidate for the vacant job profile.

And while doing so, ensure that you add relevant keywords and key phrases that communicate your technical skills and expertise.

This will ensure that your cover letter for data scientist job gets past the applicant tracking system without fail.

Also Read: Popular Options for Data Science Career

Wrap Up Your Cover Letter for Data Scientist

Always end your data scientist cover letter on a positive note!

A short expression of appreciation for the hiring manager or potential employer can reflect your courtesy so practice doing so while wrapping up your cover letter.

You should mention all the values you can add to the organization if selected and leave a positive impression while doing the same.

For example, you can include your excellent communication skills, advanced understanding of data querying languages, etc., and how it can benefit the company.

You need to convey the message that you are looking forward to hearing from the hiring manager or potential employer for further face-to-face interviews or meetings.

Here is a closing paragraph that shows an applicant's confidence and eagerness to continue with the application process:

Once your last paragraph is drafted, you can close your resume by signing off with your official name as shown in the example given below:

Keep in mind that there are many other capable professionals targeting the same job profile as yours and it is of the utmost importance for every hiring manager to shortlist the best among the best.

The Do’s and Don’ts for Writing a Data Science Oriented Cover Letter

While it is important to know what to include in your data scientist cover letter, it is also very important that you know what to avoid while drafting your cover letter.

Since most of your details are listed in your data science resume, your cover letter needs to be framed with only those points that can add value to the information that has already been listed.

Once you are familiar with what to add and what to avoid in your cover letter for data science, you can rest assured and look forward to hearing from the hiring managers.

Always remember the following points while drafting your cover letter for data scientist job:

• Always use the right cover letter format
• Maintain a short and crisp cover letter
• Avoid listing excessive industry jargon
• Include new content to avoid repetition
• Quantify your major contributions and achievements
• Conduct some research about the targeted company

Hiration Pro Tip: Always draft your cover letters on one page while keeping them short and crisp. Include new content that reflects points from the resume and make sure to quantify your achievements.

Practice a subtle presentation of your points and avoid excessive flattery while addressing the recruiter or the targeted company.

Always remember that more is less and the best way to be identified as a suitable candidate for any job profile is by presenting oneself as a professional.

Ways to Describe Data Science Skills in Your Cover Letter

Given below are some most common skills that every recruiter looks for in a data scientist cover letter:

• Mastery of algorithms and machine learning techniques
• Mastery of applied statistics
• Proficiency in programming
• Experience with NoSQL databases
• Proficiency in the most common data science toolkits
• Experience with data visualization tools

Meanwhile, ensure that you are familiar with some of the following programming languages, toolkits, and visualization tools to become a data scientist:

Also Read: How to Become a Data Scientist?

How Important Is It to Write a Cover Letter?

A cover letter is important during a job application as it fills up any gaps left in your resume.

You cannot elaborate on certain points in a cover letter for entry level data scientist but with the help of a cover letter all those details left out while drafting a resume can be covered.

By elaborating certain points on a cover letter for data scientist you can give an in-depth description of what your role was/is and throw the spotlight on your core skills or potential.

Doing so can make the recruiters identify you as a suitable candidate and hence raise your chances of getting shortlisted for interviews.

All the while always keep in mind that not every recruiter requires you to send a cover letter with your resume. Look out for instructions that explicitly ask you to steer clear of sending cover letters and avoid sending out one in such cases.

When to Include a Cover Letter for Data Scientist Job Profile

Before you send out a data scientist cover letter with your resume check if the recruiters have mentioned anything about including or avoiding cover letters.

For a data scientist profile, you can send a cover letter only if the following condition applies:

• The job you are applying for is your dream job
• You have a personal connection or a referral from someone in the company
• You have crossed paths or been involved with the organization in the past

Having said that you should avoid sending out a cover letter if:

• you have no intention to customize your cover letter
• you do not have anything significant to elaborate

Strictly avoid a cover letter for data scientist job if the recruiters have mentioned the same in the job post.

A senior data scientist cover letter should be a compelling document that contains only valuable information that has been skipped in your resume.

Therefore, include a data scientist cover letter only when you have valid points to highlight.

Also Read: What All Data Science Interview Questions to Expect

Data Scientist Cover Letter Sample

The given data scientist cover letter sample is one of our many data scientist cover letter examples that can easily get past the ATS.

Every detail you add to your entry level or senior data scientist cover letter should communicate your efficiency to the recruiters.

Hiration's Cover Letter Builder

Hiration's online cover letter builder helps you to create the best cover letter that reflects the positive points of your resume.

The following features are made available for you to enhance your cover letter:

• 10+ cover letter designs
• 1 click design change
• Choose a color scheme
• Choose line spacing
• Option to create unlimited cover letters
• Option to download unlimited cover letters

Make the best use of Hiration’s Resume and Cover Letter Builder and give yourself the chance to outshine any other average applicant.

• Always draft a cover letter using the right format and include only those points that need to be elaborated.
• The header of your cover letter should contain only the important information and be void of unnecessary details.
• Your opening line and the closing line should be curated perfectly to leave a positive impression on the recruiters.
• Place your keywords and key phrases strategically to get past the ATS.
• Avoid sending out a cover letter if the recruiters mention the same during vacant job posts .

You can customize your data scientist cover letter from Hiration's Online Cover Letter Builder with the assistance of resume experts and make use of the 24x7 chat support.

You can also reach out to us at [email protected] .

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Data Scientist Cover Letter Example

Get closer to landing a topnotch Data Scientist job with this expertly written cover letter sample. Use this cost-free example as it is or alter it in any way using our professional cover letter builder.

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Data Scientist Cover Letter Example (Full Text Version)

Emily saavedra.

Dear Hiring Manager,

I am writing to express my interest in the Data Scientist position at your esteemed company. With over three years of experience in the field, I have developed a strong understanding of key concepts and principles essential for successful execution of the role.

In my current role as a Data Scientist, I have honed my skills in data analysis, forecasting models, report generation, and data management. My attention to detail, accuracy, and ability to thrive in a fast-paced environment have been instrumental in my professional growth.

In addition to my practical experience, I hold a degree in Mathematics and Statistics and possess a Professional Certificate in Data Analysis from the Chartered Institute for IT. My analytical skills, multitasking abilities, and time management skills further demonstrate my commitment to a data-driven approach.

I am highly passionate about my work and believe that my determination and results-oriented mindset make me a valuable asset to ASRTech, Inc. Please find more details about my qualifications in the attached resume.

I look forward to the opportunity to discuss how my skills and experience align with the needs of your team. Thank you for considering my application.

Emily Saavedra

Data Scientist

Adept at statistics, mathematics and computer science, data scientists are professionals who collect and analyze high volumes of structured and unstructured data. They examine and experiment in order to find trends and create actionable plans for businesses. The role of a data scientist is to a great extent about the ability to communicate results after a thorough data evaluation, while employing deep learning models. A data scientist's annual mean wage can, according to the U.S. Bureau of Labor Statistics, reach as much as $ 133,900.

Milan Šaržík, CPRW

Milan’s work-life has been centered around job search for the past three years. He is a Certified Professional Résumé Writer (CPRW™) as well as an active member of the Professional Association of Résumé Writers & Careers Coaches (PARWCC™). Milan holds a record for creating the most career document samples for our help center – until today, he has written more than 500 resumes and cover letters for positions across various industries. On top of that, Milan has completed studies at multiple well-known institutions, including Harvard University, University of Glasgow, and Frankfurt School of Finance and Management.

Edit this sample using our resume builder.

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