Data Scientist Resume Example & Writing Tips

Data science resume template (text format)

Pair this example resume with one of our resume templates to build a data scientist resume that will impress hiring managers.

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:

Download This Free Template

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

• Concise and well-organized: The resume sections are clearly separated, with concise bullet points for each job experience entry that allow employers to scan it quickly.
• Lists relevant skills prominently: The skills section is at the top of the resume, right below the summary. Clearly listing their key data science skills here makes it easy for employers to see what sets the applicant apart from others.

Entry-level data scientist resume

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

Download This Free Template

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

• Lists relevant experience: The applicant highlights their 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 (like ‘developed’, ‘collaborated’, ‘conducted’), which highlights 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. Here’s an example of a resume that does just that:

Download This Free Template

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 conveys leadership skills by showing how they led teams of data scientists and conducted workshops. This demonstrates their ability to manage and mentor junior employees.

Job-specific data scientist resume examples

To help you write an effective resume that’s targeted to the specific position you’re applying for, 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.

Download This Free Template

Why this is a good example of a Salesforce developer resume

• Concise summary: The resume introduction effectively sums up 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 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

Make your accomplishments as a Tableau developer stand out to employers by modeling your own Tableau developer resume off of this example:

Download This Free Template

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, using hard numbers to provide 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:

Download This Free Template

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

• Well-organized: The resume sections are clear and display the most important information first. The candidate’s professional experience is listed in reverse-chronological order with the most recent job first, which makes the information logical and easy to follow.
• Relevant additional skills: In addition to the technical skills critical for the job, this resume includes additional relevant skills that set the candidate apart from others.

Data visualization resume

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

Download This Free Template

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.
• Emphasizes data visualization tools: The resume strategically emphasizes the candidate’s skills in data visualization tools, in both the work experience bullet points and the skills section.

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 that is rapidly changing. To stay ahead of the competition, you need an effective resume that shows you’re up-to-date with the latest tools, and that you’ve got the skills and experience to excel on day one.

Whether you’re an aspiring data scientist or looking to make the jump to a data science manager role, follow these four tips to craft your perfect data science resume:

1. Include skills and other keywords from the job description

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:

• Python
• SQL
• Pandas
• Scikit-learn
• TensorFlow/PyTorch
• AWS/GCP/Azure
• Spark
• GitMySQL
• 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

You should also scan the job description for other resume keywords. If you’re not sure which ones to include, we’ve compiled a list of the top keywords from real data scientist job listings:

2. Write a clear career objective

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

Your introduction should be 3–5 sentences long and include your:

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

Here are some examples:

3. Add numbers to your work experience section

Use the work experience section of your resume to draw attention to your accomplishments. Do this by using hard numbers to back up your achievements and provide evidence of your skills and contributions in past roles.

For example:

• Reduced Mean Absolute Percentage Error (MAPE) in stock price prediction by 15%, from 20% to 17%, using a time-series regression model validated with a holdout test set
• Implemented data deduplication algorithms, reducing data duplication by 25% and saving 10TB in storage

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

• Revenue growth
• Cost savings
• Churn reduction
• Conversion rate
• Model accuracy
• Error reduction
• Time savings
• Processing speed

4. 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:

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:

Build your resume in minutes

Use an AI-powered resume builder and have your resume done in 10 minutes. Just select your template and our software will guide you through the process.

Build your own