Data Scientist Resume Example & Writing Tips

Data science resume template (text format)

Take the first step in creating your resume by adding this text to one of our resume templates.

Data Scientist Resume Template (Text Format)

FIRST AND LAST NAME

Email: your.email@email.com

Phone: (123) 456-7891

Address: Street, City, State

LinkedIn: linkedin.com/in/yourprofile

Resume Objective

Dedicated data science professional with [number] years of experience. Seeking to leverage my experience in [relevant abilities] to fill the Data Scientist position. Hold a [degree/diploma/certification] in [Degree/Diploma/Certification Title]. Skilled at [2–3 relevant skills]. A [adjective #1] and [adjective #2] worker aiming to contribute to the success of [Company Name].

Professional Experience

Current Job Title (e.g., Lead Data Scientist)Company/Organization Name, City, State | Month 20XX–Present

• Include a bulleted list of your achievements as a data scientist
• Start each bullet point with an action verb (like “develop” or “manage”) to grab attention
• Use the present tense for your current data science role, unless describing a completed project or initiative
• Use hard numbers when possible to quantify your accomplishments as a data scientist
• Mention how you’ve used some of the data science skills listed in your skills section to demonstrate your mastery of these abilities

Previous Job Title (e.g., Data Scientist)Company/Organization Name, City, State | Month 20XX–Month 20XX

• List relevant accomplishments from your previous role as a data scientist
• Assuming you’re no longer working in this data science role, use past tense verbs to describe your work
• Include 3–6 bullet points for each data science role, both your current one and previous ones
• Skip the pronoun “I” and begin directly with a verb
• Although you’ll usually list work experience, feel free to include data science-relevant internships as well as any volunteer work and extracurricular activities if you lack formal work experience

Education

Degree Name / MajorUniversity, City, State | Graduation Month, Year

GPA: 3.X/4.0 (optional)
Latin honors (if applicable)

Skills & Certifications

• List skills and certifications relevant to the data scientist job you’re applying for
• Look at the job description for ideas of the skills the employer wants and that are common in data science roles
• Emphasize data science-specific hard skills and technical skills in this section
• Be as specific as possible by including names of tools, equipment, and software you’ve mastered that are used in data science roles

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Data scientist resume examples by experience level

Whether you’re an entry-level data scientist just starting your career or a seasoned expert with years of experience, we’ve got resume examples for every industry that will help you stand out to potential employers. Check out the three additional data scientist resume examples below:

Data science intern resume

Use this example as a guide to tailor your own resume and increase your chances of landing your dream data science internship:

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Why this is a good example of a data science intern resume

• Concise and well-organized: The sections are clearly delineated, the descriptions are to-the-point, and white space is used well, making it easy to quickly scan and absorb key information.
• Lists relevant skills prominently: The skills section clearly lists the candidate’s proficiency in key data science skills, allowing hiring managers to quickly assess their qualifications.

Entry-level data scientist resume

Writing a compelling resume that showcases your skills, education, and relevant experience is crucial when trying to break into the competitive field of data science.

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Why this is a good example of an entry-level data science resume

• Lists relevant experience: The resume highlights relevant data science internships and projects, demonstrating hands-on experience and skills that align with an entry-level data scientist position.
• Action verbs: Each bullet point starts with a strong action verb (e.g., developed, collaborated, conducted), highlighting the candidate’s active role and contributions in their projects and internship.

Senior data scientist resume

Senior data scientists should highlight their expertise in applying sophisticated machine learning and statistical techniques to extract actionable insights from complex datasets. For example:

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Why this is a good example of a senior data scientist resume

• Shows career progression: Including full titles like Senior Data Scientist and Lead Data Scientist show an upward career trajectory.
• Emphasizes leadership experience: The candidate shows leadership skills by including details about leading teams of data scientists and conducting workshops. This demonstrates their ability to manage and mentor junior employees.

Job-specific data scientist resume examples

To help you write an effective, targeted resume, we’ve put together examples of data scientist resumes tailored for specific industries and roles.

Salesforce developer resume

With growing demand for skilled Salesforce developers, a resume that effectively showcases your technical expertise, problem-solving abilities, and relevant experience is vital. Check out this Salesforce developer resume example to use as a reference when writing your resume.

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Why this is a good example of a Salesforce developer resume

• Concise summary: The resume’s introduction effectively distills the candidate’s 9+ years of experience and key skills into a concise overview that will make hiring managers want to keep reading.
• Well-formatted education section: The candidate’s education section is well-organized and provides key details about their educational background, including the school’s name and location, graduation date (month and year), GPA, and honors received.

Tableau developer resume

This Tableau developer resume example demonstrates how to structure your own and how to make your accomplishments stand out to potential employers.

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Why this is a good example of a Tableau developer resume

• Clear header: The header prominently displays the job title and includes key contact details so that the candidate will be easy to reach.
• Quantified work experience: The candidate includes quantified achievements on their resume, which provides concrete evidence of their skills and contributions.

Power BI developer resume

A good Power BI developer resume should demonstrate your ability to create compelling data visualizations and reports. For example:

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Why this is a good example of a Power BI developer resume

• Well-organized: The resume is broken into clear sections with the most important information first. The professional experience is listed in reverse-chronological order with the most recent job first. This makes the information logical and easy to follow.
• Relevant additional skills: In addition to the technical skills critical for the job, the resume includes relevant additional skills like DAX that could set the candidate apart.

Data visualization resume

A well-crafted data visualization resume showcases your ability to transform complex data into easily understandable and actionable insights.

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Why this is a good example of a data visualization resume

• Variety of responsibilities: The candidate highlights a range of job responsibilities, from creating dashboards and developing custom platforms to collaborating with teams and giving presentations. This shows that they’re a well-rounded professional capable of excelling in any data visualization role.
• Strategic bolding: The resume strategically bolds key items like section headers, job titles, company names, and select key achievements. This guides the reader’s eyes to the most important information so the resume is easy to skim.

Average data scientist salaries in the US

The following table includes information from O*NET Resource Center by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license.The data is presented based on the top states in the USA.

How to write a data scientist resume

Data science is a competitive field. To stay ahead of the competition, you need an effective resume.

Whether you’re an aspiring data scientist or a seasoned pro, follow these four tips to craft the perfect resume.

1. Write a clear career objective

Your resume objective is the first section that hiring managers will look at, so it’s important to get it right.

Your introduction should be 3–5 sentences long and include the following information:

1. Years of experience
2. Key skills
3. Immediate career goals

Here are some examples:

2. Add numbers to your work experience section

The work experience section of your resume is the perfect place to draw attention to your accomplishments. Where possible, back up your achievements with hard data to provide evidence of your skills and contributions in past roles.

For example:

• Conducted a data regression analysis of the relationship between company stock prices and industry trends, achieving a 15% more accurate prediction of performance than previous years
• Updated data streamlining processes, resulting in a 25% reduction in redundancy reduction

Here are some common quantifiable metrics in the data science field:

• Increased revenue
• Cost savings
• Reduced customer churn
• Improved accuracy
• Increased user engagement
• Optimized processes
• Time savings
• Increased conversion rates

3. Fill in your education section

The education section on your data scientist resume is crucial for showcasing your academic qualifications and relevant certifications. Here’s an example of a well-formatted education section:

If you have more than two certifications, put them in their own designated section, like this:

4. List your technical skills

Your resume should convince the hiring manager that you have the right hard skills and software knowledge for your target role.

List your key technical skills in a separate additional skills section, like this:

• MySQL
• SQLite3
• MongoDB
• JSON

You should also explain how you’ve applied your skills in past roles in your work experience bullet points. This gives hiring managers a sense of the scope of your expertise. For example:

• Designed and implemented a scalable data storage solution using MongoDB to efficiently handle and query large volumes of unstructured and semi-structured data, such as JSON documents, logs, and sensor data, enabling real-time analytics and insights for data-driven decision making

Additional resources

Applying for your first job in the field and curious about what a day in the life of a data scientist looks like? Check out this video by Sundas Khalid, data scientist at Google:

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