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5 Data Scientist Cover Letter Examples for 2024

• Data Scientist (DS) Cover Letter
• DS Internship
• Entry-Level DS
• Write Your DS Cover Letter

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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Block Format

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

• 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

• 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

• 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

• 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

Need a resume to pair with your data scientist cover letter?

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.

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

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. 

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

• 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.” 

Dear Mr. Sanchez:

• 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.

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.

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. 

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.

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!

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.

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.

Thank you for your consideration,

Howard Irvin

• 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.

or download as PDF

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.

How to Write a Data Scientist Cover Letter (With Template)

Key takeaways

• A cover letter can be the most important element in a job application. Ensuring your profile stands out to recruiters is crucial to your professional success.
• A well-tailored cover letter should provide relevant information clearly and concisely. Focus on detailing your skills and why you are the right person for that specific role.
• The included Data Scientist cover letter template provides an easy starting point to craft your own cover letters. Adapt and personalize it to fit your profile.

A well-written cover letter is key to quickly getting the attention of prospective employers. Among countless job seekers, resumes, and application letters, yours need to stand out on first impression if you want to ensure your job search   translates to a new role .

In this post, you will discover:

• Reasons why a well-crafted cover letter is key to professional success, from entry-level roles to senior positions
• Cover letter do’s and dont’s
• A Data Scientist sample cover letter you can easily adapt and personalize

A well-tailored   cover letter : The key to   job application   success

Ensuring you know how to write a cover letter that is clear, informative, and tailored to the role you are applying to will benefit you in many ways. Well-crafted cover letters have many benefits, which include:

• Showcasing relevance:   Tailoring your cover letter allows you to emphasize the most relevant skills, experiences, and achievements that align with the specific job requirements. This immediately captures the attention of the   talent acquisition   team, recruiters, or human resources reps.
• Demonstrating research:   A good cover letter conveys your understanding of the organization's needs and illustrates how you can contribute to its success, signaling to potential employers that you've done your homework.
• Telling your story:   Each job application is unique, and a tailored cover letter enables you to craft a personalized narrative. It lets you connect your professional journey with the role's specific challenges and opportunities, making your application more compelling.
• Highlighting cultural fit:   Your cover letter allows you to address the company's values, mission, and culture. By aligning your experiences and values with those of the organization, you demonstrate a cultural fit and convey your enthusiasm for being part of the team.
• Addressing specific requirements:   Job postings often include   specific skills or qualifications   the employer is seeking. Tailoring your cover letter enables you to address these requirements directly, showcasing how you possess the desired attributes and can meet the company's expectations.

Cover letter tips

A great cover letter should reflect your professional profile and personality. However, no matter what your cover letter's content is, the tips below will help ensure the message you want to convey is clear and easily accessible to hiring managers.

• Keep it concise:   Aim for a cover letter length of 250-400 words. Be succinct in presenting your qualifications and experiences.
• Use a clean layout:   Opt for a professional and clean cover letter format with a standard font (e.g., Arial, Calibri, or Times New Roman) and a font size of 10-12 points.
• Include   contact information :   Provide your contact information at the top of the cover letter, including your name, phone number, and professional email address.
• Use   headers   and sections:   Organize your cover letter into clear sections with headers such as Introduction, Work Experience, and Achievements for easy readability.
• Maintain a professional tone:   Keep the tone of your cover letter professional and upbeat. Avoid overly casual language, and focus on showcasing your skills and experiences.
• Use keywords:   Incorporate relevant keywords from the Agile Project Manager   job description   and company website into your cover letter. This can help your application pass through   applicant tracking systems (ATS)   used by many employers.
• Highlight achievements with bullet points:   Use bullet points to list specific accomplishments or notable projects. This makes it easier for the reader to grasp your accomplishments quickly.
• Use quantifiable data:   Whenever possible, include quantifiable data to demonstrate the impact of your achievements. Numbers provide concrete evidence of your contributions.
• Match company tone:   Adapt your writing style to match the tone of the company and industry. Research the company's culture to strike the right balance between professionalism and personality.
• Showcase company knowledge:   Demonstrate your understanding of the company by referencing its values, mission, or recent achievements. Explain why you're excited about the opportunity to work for this specific organization.
• Address employment gaps (if applicable):   If you have employment gaps, briefly address them in a positive light, focusing on any skills or experiences gained during those periods.
• Proofread   thoroughly:   Eliminate typos and grammatical errors by proofreading your cover letter multiple times. Consider using tools like Grammarly to catch any overlooked mistakes and ensure your English (or any language you use) is correct.
• Include a   call to action :   Conclude your cover letter with a call to action, expressing your enthusiasm for the opportunity and indicating your readiness for an interview.
• Follow submission instructions:   If there are specific instructions for submitting the cover letter, such as naming conventions or document formats, ensure that you adhere to them.
• Save as a PDF:   Save your cover letter as a PDF before submitting it. This ensures that the formatting remains consistent across different devices and software.

While understanding the correct steps to write a cover letter is crucial to your professional success, knowing what mistakes to avoid is equally important. The best cover letter can easily be made useless by a tiny blunder. Avoid making the mistakes listed below; you will be halfway to your new job.

• Don't use a generic greeting:   Avoid generic salutations like "To whom it may concern," “Dear sir or madam, “ or “Dear hiring manager.“ Whenever possible, address the cover letter to a specific person.
• Don't repeat your resume:   An effective cover letter should complement your resume, not duplicate it. Focus on specific experiences and achievements that showcase your qualifications for the role.
• Don't exaggerate or lie:   Be truthful in your cover letter. Exaggerating your qualifications or providing false information can harm your chances and damage your professional reputation.
• Don't use unprofessional email addresses:   Ensure that the email address you use in your contact information is professional. Avoid using nicknames or unprofessional terms.
• Don't include irrelevant information:   Keep your cover letter focused on the job. Avoid including unrelated personal details or experiences that do not contribute to your suitability for the role.
• Don't use jargon unnecessarily:   While demonstrating your knowledge is essential, avoid unnecessary jargon that may confuse the reader. Use clear and straightforward language.
• Don't sound overly eager:   Expressing enthusiasm is positive but can easily feel unauthentic if overdone.

Remember, the goal of a practical cover letter is to present your qualifications in a clear, organized, and compelling manner while adhering to professional standards.

How to structure your Data Scientist cover letter

Express your genuine interest in the   Data Scientist   position in the opening paragraph. Mention your enthusiasm for leveraging advanced analytical techniques and your eagerness to contribute to a team focused on extracting valuable insights from complex datasets. Take a moment to acknowledge any referrals that may have influenced your decision to apply.

About your current role

Illustrate your impact by highlighting concrete achievements and innovative strategies you've implemented to enhance data analysis and contribute to the success of your team. Emphasize your role in deploying specific data science methodologies or tools that led to measurable outcomes, showcasing your proficiency in driving positive analytical change.

Use this section to shed light on your current responsibilities and ongoing projects, drawing connections to how they align with the requirements and objectives of the Data Scientist role.

About your experience

Detail your hands-on experience in leading data-driven initiatives, ensuring adherence to statistical methodologies, and fostering a culture of continuous improvement. Clearly communicate that your analytical skills and readiness for the role are well-established. 

This section is also the place to highlight your years of experience in the data science field, along with any additional technical or soft skills acquired throughout your   career path .

Notable achievements

Showcase standout accomplishments that exemplify your skills as a Data Scientist. Whether you played a crucial role in solving a complex data challenge, contributed to the delivery of impactful insights, or implemented an innovative solution, use this section to concisely mention your achievements, how they were measured, and their impact on the team or organization.

Why you want to work there

Highlight specific aspects of the company's reputation, mission, and values related to data science that resonate with you. Explain how these align seamlessly with your professional goals and how you envision contributing to the company's success through your expertise in data science. Be concise but expressive about your motivations.

Specific projects or initiatives that motivated you to apply

Demonstrate your understanding of the organization by referencing specific data science projects or initiatives that have captured your interest. Link these initiatives to your skills and experiences, emphasizing how your contributions align with the company's goals. This shows your genuine interest and proactive approach to aligning with the company's mission.

Use the closing paragraph to reiterate your eagerness to contribute to the company's success as a Data Scientist, express your excitement about the possibility of further discussing how your skills align with the company's objectives, and encourage the reader to   reach out with any questions   they may have. Sign off with a professional salutation.

Data Scientist   cover letter template

Dear [Hiring Manager’s name],

I am writing to express my enthusiastic interest in the Data Scientist position at [Company Name], as advertised. With a strong background in data science and a proven track record of leveraging analytics to derive meaningful insights, I am confident in my ability to make significant contributions to your organization.

About my current role

In my current position as a Data Scientist at [Current Company], I have:

• Applied advanced statistical and machine learning techniques to analyze large datasets, resulting in [specific outcome, e.g., improved predictive accuracy, cost savings, etc.].
• Developed and implemented predictive models that led to a [percentage] improvement in [relevant metric], showcasing my commitment to delivering actionable insights.
• Collaborated with cross-functional teams to interpret data and provide strategic recommendations, contributing to [specific project or business goal].

About my Data Scientist experience

My experience extends to:

• Conducting exploratory data analysis to identify trends and patterns, leading to [measurable outcomes, e.g., improved decision-making].
• Utilizing programming languages such as Python and R to clean, manipulate, and analyze data, ensuring accuracy and reliability in findings.
• Communicating complex technical findings to non-technical stakeholders, fostering a data-driven decision-making culture within the organization.

Some of my notable achievements include:

• Implementing a data-driven strategy that resulted in a [percentage] improvement in [specific business metric], positively impacting overall business performance.
• Developing and deploying a machine learning model that optimized [specific process], leading to significant time and resource savings.
• Collaborating on [specific project] that involved [unique or challenging aspect], demonstrating my adaptability and problem-solving skills in a dynamic environment.

Why I want to work for [Company]

I am particularly drawn to [Company Name] due to its [mention aspects unique to the company and are a core part of its mission and values such as: commitment to innovation, data-driven decision-making, diversity,...]. I am excited about the opportunity to apply my data science skills to contribute to [Company Name]'s continued success and growth.

Specific projects or initiatives of [Company] that motivated me to apply

In researching [Company Name], I was impressed by your recent initiatives in [specific data-related project or achievement]. I believe my expertise in data science aligns with your organizational objectives. My passion for extracting meaningful insights from data and my commitment to delivering high-quality results would make me a valuable addition to your team.

Thank you for considering my application. I am eager to further discuss how my skills and experiences align with the Data Scientist role at [Company Name]. I look forward to contributing to your team's success.

[Your Full Name]

Get your career rolling with Deel

Your job application is your chance to tell your professional story, and a well-tailored cover letter is your narrative's opening chapter. Remember that personalization is key. Make each word count, emphasizing how your background uniquely positions you as the ideal candidate, and get your dream job. 

Looking for even more inspiration?   Discover how to write a stellar cover letter in 5 steps .

Discover more tips and tools to help boost your career further and climb the steps to your dream job on   the get-hired content hub .

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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.

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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.

Related Articles:

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

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

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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.

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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Data Science Cover Letter Dos and Don'ts (2024)

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How to Write a Data Science Resume for University Graduates in 2024

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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:.

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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How to Write an Effective Data Scientist Cover Letter and Resume

In today’s data-driven world, data scientists are among the most highly respected experts in the tech industry. This interdisciplinary field relies on scientific algorithms, methods, systems, and processes to extract, store, and manipulate structured and unstructured data. These experts are in high demand in the United States and other parts of the world. 

If you are a data scientist who has yet to join the labor market or you’re looking for a career change, you are going to need an excellent cover letter and resume. This is your complete guide to creating a data scientist cover letter and resume for your next job application. It contains everything you need to know including sample cover letters, sample resumes, and a ready-to-use template. 

Find your bootcamp match

Data scientist cover letter guide.

Before you start writing a data scientist cover letter, you need to understand the intention behind a cover letter. Data science cover letters are job application documents consisting of key details explaining why a hiring manager should give you a job. A cover letter supplements your resume by going into more detail about your key qualifications.

Why Does Your Data Scientist Cover Letter Matter? 

There is no doubt that data scientists are currently in high demand. The United States Bureau of Labor Statistics predicts a 22 percent rise in the demand for these experts between 2020 and 2030. To take advantage of this high demand, more people than ever before are learning data science in universities and bootcamps. 

With a professionally written cover letter, you can stand out among hundreds of applicants seeking the same data scientist position. Your cover letter is a gateway to your resume and a perfect opportunity for you to make a good first impression.

Apart from flaunting your technical skills, a data scientist cover letter gives the hiring manager some insight into your personality. It stimulates their interest and encourages them to learn more about you. If your cover letter isn’t good enough, there is a chance that your application will be thrown out before your resume is opened. 

Essential Components of Your Data Scientist Cover Letter

While every data scientist cover letter should be unique and tailored toward the company and job position you are applying for, there are some key components you should always include. These components make up the structure of the cover letter. 

• Contact information. Contact information is key for every type of cover letter, not just data science cover letters. Make sure you add your name, telephone number, email address, professional LinkedIn profile, and GitHub profile. If you don’t have a GitHub link, you should add another link to your portfolio. 
• Introduction. Cover letters should always have an introduction, a body, and a conclusion. You should state your name in your introduction and give the hiring manager some background professional information. Your introduction should be semi-formal with a personal touch. You don’t want to sound mechanical or generic. 
• Professional qualities. The body of your letter should aim to answer some of these questions: Why are you a good fit for this job? What technical and non-technical skills have you acquired over the years and how would they combine to help you excel if you are given a chance? Do you know about data visualization, big data analytics, and business intelligence? What is your data science specialization? 
• Company and job details. In the body, you should mention the name of the company you want to work for and give some details about the job you want. It is also important that you mention the name of the hiring manager for a personal touch. It shows that you’ve done thorough research and know exactly what you’re after. 
• Conclusion. Your conclusion should be compelling and should come with a call to action. First of all, remember to thank the reader for their time. Repeat why you think you will be a good fit for the job and let them know that you will be waiting for their call or email. 

5 Tips for Writing a Strong Data Scientist Cover Letter

Almost every cover letter submitted to the hiring manager will have the same structure and components as yours. You need to go the extra mile to make your cover letter better than everyone else’s. The tips below should help you achieve this goal. 

• Be enthusiastic. If you write your cover letter with enthusiasm, you will show your prospective employers that you are excited about the position and would give it your all if you get the chance. Use words like eager, keen, amazing, and fantastic. 
• Be confident, not arrogant. Hiring managers want to employ data scientists who are confident in their skills. If you are a newbie, you may not be confident. However, if you are an experienced data scientist, you may just be too confident and run the risk of appearing arrogant. Arrogant employees aren’t known to command respect in the workplace. 
• Avoid fluff. In writing, fluff refers to padding up your content with unnecessary filler that adds no value. You should avoid this in your letter by sticking to the most important points and staying away from repetition except for necessary emphasis. 
• Don’t list outdated skills or tools. The data industry is one of the most rapidly evolving industries in the world today. Hiring managers are looking for people with in-demand and up-to-date skills. Cover letters are already very short, so don’t waste space by mentioning outdated technologies or tools that don’t improve your candidacy.
• Avoid negativity. You may be tempted to complain about a previous employer or mention a negative experience you had in the industry. However, your cover letter isn’t the place to air any grievances. Focus exclusively on what makes you a good candidate for the job at hand.

Data Scientist Cover Letter Example

You should keep your cover letter short and straightforward. The sample below is a guide to help you write a compelling data science cover letter. Feel free to make yours longer if you have enough meaningful information to add. 

Data Scientist Cover Letter Sample

November 20, 2021

Miss. Anita Johnson 

[email protected]

Hiring Manager

Data Science Corporation

No 5 Hive Street, Montgomery Street, Silicon Valley, CA, USA 09857

Dear Miss Johnson, 

My name is Jane Doe and I am excited to apply for this role. With my vast experience in data modeling, data visualization, statistics, and data analytics, I am confident that I am the best fit for this job. 

I have a Bachelor’s and Master’s Degree in Data Science but my goal is to continue pursuing professional development. Apart from my technical skills and experience, I consider myself a leader with exceptional communication, critical thinking, problem-solving, and analytical skills. 

I believe that machine learning and artificial intelligence are the future of data science and I have dedicated time to explore this field. I currently have a machine learning and artificial intelligence certification along with data science certifications. 

If you give me a chance, I will play my part in ensuring that Data Science Corporation makes the best data-driven decisions. Thank you for your time and I look forward to reading your reply soon.

Sincerely, Jane Doe 

Data Scientist Resume Guide

A data scientist’s resume is a formal job application document that showcases your education, skills, professional experience, and other related qualifications. You can impress hiring managers with a high-quality resume and increase your chances of getting invited for a job interview.

Why Does Your Data Scientist Resume Matter?

Your data science resume matters because it helps the hiring manager determine if you are a good fit for the position. The structure, style, and occupational details on your resume will go a long way in determining if you deserve the first interview. If your resume is not properly crafted, you may appear less qualified than you are and lose a once-in-a-lifetime opportunity. 

To make an even more compelling data science resume, you need to attach it to a cover letter. Combined, both documents must reflect your strengths as a data scientist. You can use it to show the hiring manager that you are excited about the job offer and determined to make the best out of it if you are offered the position. 

Essential Components of Your Data Scientist Resume

The following components of a data scientist resume are must-have features that help structure and bulk up the document. You’d better include these on your resume if you want to be considered for an interview. 

• Contact information. Your contact information is vital because it is the first thing a hiring manager will look for if they want to invite you for an interview. This section should include your telephone number, email address, LinkedIn profile, and GitHub link if you have one. 
• Personal statement. Your personal statement is an introduction to your resume. It is also called an objective statement or professional summary. Think of your personal statement as your sales pitch for your services. Mention the skills you feel qualify you for the data science position. It can be a combination of technical and non-technical skills. 
• Education. List your university degrees and other post-secondary education. For each entry, include the name of the school, the name of the degree, and the dates you attended. 
• Professional experience. A vital part of your resume is your work history. Hiring managers in the data science industry prefer to employ people who already have professional working experience. If you are applying for an entry-level role, add any internships or apprenticeships that you have done.
• Skills and certifications. There should be sections in your resume dedicated to your technical and non-technical skills. Make sure you list the most relevant skills first. You also need to list your data science certifications. 

5 Tips for Writing a Strong Data Scientist Resume

To ensure that your resume stands out from every other one submitted to the hiring manager, follow these five tips: 

• Be honest. Don’t try to get an edge by lying about your job experience, skills, education, or anything else. Even if you get away with lying and get hired, the company will eventually find out when you are unable to do what you said you could.
• Include quantifiable results. As a data scientist, you should be both good with and passionate about numbers. To convey this in your resume, make sure that you include achievements from previous roles measured in quantitative terms. State by what percentage your work helped improve a company’s bottom line or how you helped a firm predict sales with a certain accuracy rate.
• Add high-demand skills. Start by listing the most in-demand skills first. High-demand programming languages include Python, SQL, and R. Tools that any data science resume should feature are Hadoop, Spark, Tableau, and MongoDB. You should also mention your machine learning and artificial intelligence skills. 
• Don’t be flashy. There is nothing wrong with adding some color to your resume, but the best ones stick to black and white. If you must add color, it should be restricted to the headings and divider lines. Your goal should be to keep your resume simple and free of clutter. Use professional font style and size. 
• Proofread. When you finish writing your resume, you need to proofread it thoroughly to make sure there are no grammatical errors. No hiring manager will take you seriously if your resume is full of typos and other grammatical mistakes. 

Data Scientist Resume Examples

The samples below should give you a clearer picture of what a data scientist’s resume should look like. One is a complete resume sample and the other one is a template that you can fill in with your own information. 

"Career Karma entered my life when I needed it most and quickly helped me match with a bootcamp. Two months after graduating, I found my dream job that aligned with my values and goals in life!"

Venus, Software Engineer at Rockbot

Data Scientist Resume Sample

Jane Doe 

(+1) 8407-5213

[email protected] 

GitHub.danejoe.com

Personal Statement 

Over the last five years, I have built a solid reputation as a data scientist who specializes in machine learning, deep learning, and artificial intelligence. Apache Hadoop is my go-to software for distributed data storage and processing. I also have excellent leadership skills due to my extensive experience in team building and management. 

Columbia University, New York City, NY

Master’s in Computer Science – Machine Learning

2013 – 2015

University of California, Los Angeles, CA

Bachelor of Science in Data Science 

2008 – 2011

Work Experience

Data Scientist

The Data Science Republic, San Diego, CA

2015 – Present 

• Supervised data migration from traditional to cloud-based database management systems with less than 1% obstruction or data loss 
• Developed software for data recovery   

Remote Data Analyst

Computer Management Systems, New York City, NY 

2010 – 2015

• Collected, stored, and analyzed data which was used to offer actionable insights 
• Designed a data management software that improved overall DBMS performance by 20%

Technical Skills

Hadoop 

Spark 

Sybase 

JavaScript 

Non-technical Skills

Time management 

Communication 

Problem-solving 

Working under pressure 

Collaboration

Conflict resolution 

Adaptability 

Certifications  

IBM Data Science Professional Certificate 

Google Data Machine Learning

SAS Certified Data Scientist

Data Science Council of America (DASCA) Senior Data Scientist (SDS)

MongoDB Certified Developer

References available on request 

Sample Data Scientist Resume Template

[Full name]

[Phone number]

[Email address]

[Portfolio link]

[LinkedIn profile]

Personal Statement [One or two sentences about your career goals and what you’re seeking from the job you’re applying for]

Education [School and location] [Degree and major] [Dates]

[School and location] [Degree and major] [Dates]

Work Experience [Position] [Company and location] [Dates]

• [Responsibility]

[Position] [Company and location] [Dates]

Technical Skills [Skill] [Skill] [Skill] [Skill] Non-technical Skills [Skill] [Skill] [Skill] [Skill]

Certifications [Certification] [Certification] [Certification]

Data Scientist Resume Template Resources

• Enhancv . Since 2014, Enhancv has built a solid reputation as one of the best places to find customizable resume templates for data science and many other professions. 
• Monster . Monster is a job resource website that provides data science job listings as well as cover letter and resume templates. All templates can be downloaded for free. 
• Beamjobs . Beamjobs has great resume samples and templates based on over 1,000 real-world data science resumes. There are templates for entry-level, intermediate, and senior data scientists. 

Importance of a Data Scientist Cover Letter and Resume

Crafting an impressive cover letter and resume is vital for people seeking data science positions. These documents might just be what stands between you and your dream job. Before an interview is granted, hiring managers use cover letters and resumes to gauge your abilities and see if you are a good fit for the company.

Data Science Cover Letter and Resume FAQ

Yes, a data science cover letter is necessary for anyone who wants to apply for a job in the tech industry. Big companies have HR departments that oversee recruitment. If you don’t submit a professional cover letter, your application won’t probably be considered.

A data science resume should contain your business-oriented achievements, business experiences, education history, skills, and successful data science projects. It should speak loudly about your qualifications and leave the hiring manager curious to meet you in person. If possible, include any skills or technologies listed in the job description.

Start with the most relevant and in-demand data science skills you have. After listing these skills, you can proceed to other technical skills and then move to soft skills like communication, problem-solving, and similar traits.

Yes, you do need a cover letter and a resume if you are applying for a position. However, you should not combine them into one document. While they are both parts of the job application process, they both serve different purposes and should not be condensed into a single document.

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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 .

Professional Data Scientist Cover Letter Example for 2024

Read for inspiration or use it as a base to improve your own Data Scientist cover letter. Just replace personal information, company application data and achievements with your own.

Read a real data scientist cover letter example

What to write in a data scientist cover letter, key takeaways.

Writing a cover letter for a position in data science might feel like walking a tightrope – choosing between buzzwords mentioned in the job description and original (or even innovative) content.

But trust us – you could have the best of both worlds. In fact, a professional data science cover letter needs to have the best of both worlds.

You may have heard that the cover letter is the place to show your achievements , but it’s also crucial to add some keywords. Why? We’ll get there.

First, let’s look at some other things you can mention in your cover letter.

So do you really need a cover letter for data science ? The short answer is – yes, you do. A well-written cover letter will complement your resume. It will introduce the hiring manager to your strengths and how they have helped you overcome challenges in the past.

It will also allow the reader to find out more about your projects, incl. the platforms you’ve built and the experiments you’ve designed.

That being said, some of the things a data science cover letter should include are:

• Your soft skills and how they’ve helped you maintain partnerships and work as part of a team
• Your top achievements as a data scientist
• The models or methodologies you’ve used, created and developed
• Why you want to join the company \

Focus on the things you’ve created as a data scientist and how they’ve improved (or aimed to improve) company or team operations.

If you have not created anything on your own yet, talk about the teams you’ve assisted and the impact this has had.

Check out our comprehensive guide on what your cover letter should include for some additional inspiration.

Now let’s move on to the things that will make your cover letter stand out.

Choose the right salutation

Address your cover letter to the hiring manager whenever possible. If you don’t know who they are, try to find out. Look them up on company websites or social media pages. LinkedIn is a great source of information!

However, if there is no way for you to find the hiring manager’s name, you could use one of the following salutations:

• Dear Hiring Manager
• To the [the name of the department you’re applying for] Team
• Dear Human Resources Manager
• Dear [company name] Recruiter
• Dear [title of the person you’d report to]

No matter which one you go for, make sure to be polite. Overall, the language you choose depends on the position you’re applying for and the company culture.

Craft a strong introduction

Your cover letter’s introduction is the first thing the hiring manager will read. It’s your chance to get their attention and make it to the next stage of the application process.

For this reason, avoid focusing on where you found the job advert and how you decided to apply. It sounds a bit shallow and is what everyone else is doing anyway.

Instead, share what inspires you about the company and the whole data science field. What makes you the ideal candidate? How would having you on the team improve company operations?

You could also leave a sentence or two for your background and previous experience here, but without repeating the summary of your resume.

Emphasizing your data science skills in your cover letter

Although some experts advise leaving your hard skills for the resume and focusing on soft skills in your cover letter , this is not entirely valid for data science cover letters.

Don’t get us wrong, soft skills are extremely valuable and should definitely be present in your cover letter.

But they shouldn’t be the only skills you mention.

The best thing would be to combine soft and hard skills and show how they have helped you achieve your goals.

For example, you could mention how your time-management skills have helped you build an extensive statistical model using Python in just a couple of days. Or how your problem-solving skills have made it easier for you to help the PM team optimize project delivery times.

When it comes to cover letters for data science jobs, hiring managers want to see the depth of your industry knowledge, rather than its breadth. Listing skills aimlessly just wouldn’t work in this case.

Also, make sure to include the skills that are explicitly mentioned in the requirements section of the job advert. This will help you pass Applicant Tracking Systems (ATS) that screen cover letters for certain keywords before passing them on to recruiters.

Communication skills can be linked to your ability to work well in a team and handle conflict easily. Problem-solving skills will show that you are attentive to detail and are always on the lookout for potential issues. Time-management skills prove your ability to meet tight deadlines and work under pressure.

Show that you did your research before applying

You want to point the hiring manager to the fact that you know the company well enough. This works in your favor for two reasons:

It shows you’re aware of common industry/company issues It shows how excited you are to become part of the company you’re applying to (and not just any company out there).

You can also share how your skills will contribute to the company’s growth. This will prove exactly what you can bring to the table.

The final call to action

While a strong introduction is necessary in order to make a good impression, a great conclusion is what makes this impression last .

Thus, using the right words to end your data science cover letter can help you get invited to the next stage of the interview process.

Two things make up a memorable closing line – expressing gratitude for the reader’s time and consideration, and saying that you look forward to hearing from them soon.

Here, you can use traditional phrases such as “Looking forward to hearing from you” or “Looking forward to your reply”.

• Focus on both hard and soft skills
• Mention some of your previous findings and contributions
• Prove that you’ve researched the company and the industry
• Show how your skills and experience can help tackle common problems
• Talk about your motivation to become part of the team

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Pair your cover letter with a matching resume for guaranteed success

Matching your cover letter with an equally good resume will without a doubt put you in front of other applicants.

Check out our Data Scientist resume writing tips or talk to an expert for some valuable tips and guidance.

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Home » Job Tips » Resume Writing Tips » Data Scientist Cover Letter

Data Scientist Cover Letter: Writing Tips, Template & Samples to Get Hired

An effective cover letter can help you stand out from other applicants and get the hiring manager’s attention. For data scientists, the cover letter is an opportunity to showcase their skills, experience, and passion for working with data.

 An excellent cover letter can help set you apart from other applicants and land an interview. In this blog, we will explore the essential components you need to craft a perfect data scientist cover letter that showcases your value and helps you land your next data scientist role.

Table of Contents

Essential Elements Of A Professional Data Scientist Cover Letter

An effective cover letter is very important when applying for a data scientist job role. It should include the following key sections:

The first part of the letter should be the header, which introduces you professionally. It is important to make a good first impression with a professional, organized cover letter by:

• Adding your full name, job title (Data Scientist), email, phone number, and date. 
• Making your name stand out in a larger font. If emailing, the subject line could say “Data Scientist Job Application – [Your Name]” so it’s easy to identify.  
• Starting with an opening paragraph expressing your excitement for the position. 
• Highlighting your relevant background – education, skills, experience – to show you are qualified.

2. Greetings/Salutation

The greeting at the top of your cover letter is important when applying for a data science job. It’s the first thing the hiring manager sees, so it needs to make a good impression by maintaining a format. Here are some guidelines to draft the perfect greetings: 

• Don’t use a generic greeting like “To whom it may concern.” 
• Do some research to find the hiring manager’s name. The best option is to address them directly with “Dear Mr./Ms. [last name].” 
• If you don’t know their name, “Dear Hiring Manager” works too. This personalized greeting shows you care about details and sets the right tone.

Make sure the greeting is respectful and professional. That positive first impression can make your cover letter stand out from the start.

3. Introduction

The introduction plays a crucial role in your cover letter as it establishes the overall tone. Your introduction should immediately capture the hiring manager’s attention and interest them enough to continue reading. Here are some tips to draft a good introduction:

• It is important to express enthusiasm for the job and convey a genuine passion for data science right from the beginning. 
• State which position you are applying for, and mention relevant educational background, degrees, or certifications in data science or related fields to demonstrate suitability. 
• Restrict your introduction to a few sentences that clearly state who you are, specify the desired position, and highlight your relevant skills. 
• To catch the attention of hiring managers and keep their interest, it is advisable to be concise yet compelling when introducing yourself.

This section is central to your application and provides an opportunity to demonstrate your skills, experiences, and passion for the role. To draft the perfect body content for your cover letter:

• Emphasize technical proficiency and problem-solving abilities. 
• Support these claims with specific examples from previous roles. 
• Talk about your professional experience and education through points that focus on relevant skills without duplicating information found in your resume or portfolio. 
• Rather than repeating facts about yourself, use this space wisely to offer new perspectives on various accomplishments. 
• Use the STAR technique to illustrate how you positively made an impact on companies you have worked at previously.

The closing paragraph of your cover letter is very important it is the last thing the hiring manager reads, so you want to leave a great final impression. You can craft your closing statement by referring to the following guidelines:

• Recap your qualifications, skills, and experience that make you a strong candidate for the job. 
• Re-emphasize that you’re truly excited for the opportunity and eager for the next steps in the process. 
• As a method to be remembered, so end with confidence that your abilities make you a great fit. 
• Maintain a professional but enthusiastic tone, and add a call to action – for example, your availability for an interview or willingness to provide more info.

6. Signature

Ensure to end your cover letter with a signature. The signature is a critical final section of your cover letter that formally closes your communication and identifies it was written directly by you. Signing the letter adds an element of personalization and professionalism. Here’s what you need to keep in mind before adding your signature:

• Your signature should match the name you used in the greeting and be written in pen for an authentic look and feel. 
• Use your full legal name for formality.

Data Scientists Cover Letter Template

A template can assist you in crafting a cover letter that presents your professional experience, achievements, and potential to recruiters with clarity and professionalism. Here is a template for your best data scientist cover letter:

Data Scientists Cover Letter Sample

Here is a cover letter data science example that can serve as a helpful guide if you’re looking to write a perfect data science cover letter.

Tips to Draft the Best Data Scientist Cover Letter

To craft an engaging data scientist cover letter that gets results, keep these tips in mind:

1. Mention Relevant Skills And Experience

In your cover letter, emphasize relevant skills and experiences. For data scientists, focus on technical abilities such as programming languages, data analysis, machine learning, and statistical modeling. Don’t forget to mention soft skills like problem-solving skills and effective communication. Provide specific examples from previous roles to demonstrate skill usage and results achieved.

For instance, highlight any online data science placement guarantee course that you may have taken to upskill. Mention the technical skills like Python programming, and machine learning frameworks you used in past data analyst roles.

2. Talk About Your Current Role

To write a compelling cover letter for a data scientist position, it’s important to effectively explain your current role. Start by giving a summary of what you do and focus on the key tasks and accomplishments that demonstrate your expertise in handling and analyzing data. Highlight specific projects where you applied your skills successfully and made an impact. 

For example, you can state that you’re, “Currently serving as lead data scientist driving analytics strategy that increased click-through rate by 10% and revenue by 8%”.

3. Demonstrate Your Suitability for the Role

Understanding the position you’re applying for is crucial in crafting a successful cover letter. Thoroughly read and comprehend the job description to tailor your letter accordingly, emphasizing how your skills and experiences align with what the employer seeks. 

For example, focus on showcasing your experience in developing applications using the most preferred programming language that aligns with the role you’re applying for. By doing so, you convey that you have done thorough research and are committed to pursuing this opportunity.

4. Highlight Your Passion For Data Science

When writing a cover letter as a data scientist, it’s important to highlight your passion for the field. Start by expressing genuine enthusiasm for working with data and its power in solving complex problems.

Further, mentioning any relevant personal projects or research conducted outside of professional responsibilities will demonstrate to the employer that you are not simply seeking any job but specifically aspiring towards a career in data science .

5. Mention Specific Projects That Motivated You To Apply

When highlighting your relevant experience, be sure to call out specific data science projects that sparked your interest or passion for the field. For instance, you could describe a past project that motivated you to continually enhance your skills in the field. Sharing real-world examples of data projects that inspired your interest and path in data science helps convey your passion for the work.

6. Link Your Soft And Hard Skills To Your Achievements

It’s important to connect your soft and hard skills with tangible achievements. By illustrating specific accomplishments that demonstrate your abilities, you can showcase both your expertise and the real-world results of your skills.

For instance, “I used my communication and Excel skills to create sales dashboards that identified trends and opportunities, increasing team productivity by 15%.” This approach validates your abilities and shows employers how you can translate them into real-world results.

7. Follow A Clear, Concise, And Professional Format

Your cover letter is a formal document, not an essay. Keep it brief and straightforward by using plain language that everyone can understand. Avoid jargon or overly technical terms. Additionally, remember to review your letter for any spelling or grammar errors as a well-written and mistake-free cover letter creates a positive initial impression.

8. Finish Strong With A Memorable Conclusion

Your cover letter’s conclusion is your last opportunity to leave an impression. Use it to emphasize your interest in the position and why you are a good fit for it. You can also mention when you are available for an interview and express enthusiasm about discussing the role further. This will demonstrate that you take initiative and are genuinely interested in this job opportunity.

For example, “I am excited about the opportunity to contribute my skills to [Company Name]. With a passion for data science, I am eager to bring my [specific skills] to drive success and thrive in a dynamic team environment. Thank you for considering my application.”

An engaging, well-crafted data scientist cover letter is vital when applying for data scientist jobs. It provides an opportunity to make a great first impression and highlight both your technical expertise and passion for the field. Use the tips and examples in this post to craft a cover letter that gets your data science career off to a strong start. 

How do you prepare a cover letter? Share in the comments. Also, check out our blog on the best cover letter formats .

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Shailja Kaushik has been an Editor with Internshala since March 2023. She loves creative writing and experimenting with different forms of writing. She has explored different genres by working with journals and radio stations. She has also published her poems and nano tales in various anthologies. She graduated at the top of her class with Bachelor's in English and recently completed her Master's in English from the University of Delhi. Her experiments with writing continue on her literary blog.

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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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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.

To whom it may concern,

I am writing this letter to express my interest in the Data Scientist position at your company. I have been working as a Data Scientist since 2016 and understand the key concepts and principles of this job and what it takes to successfully execute all assigned duties.

After working in the data analysis industry for over 3 years, I have developed extensive knowledge and expertise in the field and gained valuable experience in various aspects of this job. Besides collecting and examining large datasets, I am fully skilled in creating and implementing professional data forecasting models, producing detailed reports, and performing multiple data management tasks. Moreover, my previous roles have helped me to develop and significantly improve my attention to detail and accuracy and gave me a chance to see and feel what it's like to be a part of a deadline-driven and fast-paced business environment.

In addition to my experience, I can offer your firm excellent analytical skills and important multitasking and time management abilities. Not only they are necessary for the job but also serve as an evidence of a data-driven mindset which I believe I possess. I understand that the candidate's education is an important part of the position and therefore it's my pleasure to tell you that I'm a Mathematics and Statistics graduate with the Professional Certificate in Data Analysis from the Chartered Institute for IT. 

I am very passionate about my job and, with my great determination and results-oriented approach, I believe I can contribute to the ASRTech, Inc. You can find more information about my career life and personality in the attached resume. 

I look forward to hearing from you soon.

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.

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