Data Scientist Resume Examples

Use the following resume samples to analyze your own data scientist resume
Build Your Data Scientist Resume
  • A functional or combination resume is advised
  • When designing your resume, consider the use of infographics or icons
Resume Length

1-3 pages

Resume Samples

1. Candidate seeking associate date scientist position

Samples Resume

Copy to clipboard

Recent university graduate with an MS in Engineering, seeking to improve your company’s bottom line through data analysis.

  • Able to work independently using computer data software
  • Identified previously unknown outliers during undergraduate research
  • Conducted data analysis alongside professionals during internship
  • Proficient in High-Performance Computing (HPC)

2. Candidate seeking data scientist position

Samples Resume

Copy to clipboard

Experienced professional backed by more than a decade in the field, competent in the use of powerful data mining algorithms and building statistical models.

  • Built historical models using company data in order to identify patterns and predict market trends
  • Developed a unique algorithm for use in data mining applications
  • Collected raw data from the internet using in-house web scrapers
  • Curated newsletters that reached an audience of over 50,000 analytics professionals

Data Scientist Resume Vocabulary & Writing Tips

The words you use in your resume can help you to stand out among other candidates. Carefully examine the job listing or description to discover keywords that the hiring manager or resume screening software may be looking for.

To help you get started, we’ve compiled the following list of industry-specific terms and action verbs.

When completed, remember to scrutinize your resume for common mistakes, such as errors in spelling, grammar, or punctuation.

Words to Use

  • Computer science
  • Modelling
  • Statistics
  • Analytics
  • Insights
  • Data sets
  • Data wrangling
  • Data-driven solutions
  • Data mining
  • Algorithms
  • Machine learning
  • Outlier detection
  • Trends

Action Verbs

  • Discover
  • Develop
  • Predict
  • Achieve
  • Experiment
  • Explain
  • Analyze
  • Perform
  • Conduct
  • Utilize
  • Organize
  • Update
  • Modernize
  • Improve
  • Infer
  • Forecast

Data Scientist Resume Tips and Ideas

Early in the computer age, businesses realized that data—information in a digital format—could be used to give them a market advantage. Numerous careers arose in the data field. The data scientist was one of the them.

Data Scientists are mathematicians. They use computer modeling and statistics to make predictions or detect patterns. They analyze large data sets so that companies can use the information to make decisions. LinkedIn lists data science as one of its fastest-growing jobs, and Glassdoor called the career “the best job in America.”

Most data scientists hold a Master’s Degree or a Ph.D. in Engineering, Computer Science, Statistics, or Mathematics. You can use the following data—our collection of professional tips and resume samples—to create a strong and formidable data science resume.

  • A functional or combination resume is advised
  • When designing your resume, consider the use of infographics or icons




  • Contact information
  • Education
  • Technical skills
  • Work history


  • Objective statement
  • Soft skills
  • Languages
Resume Length

1-3 pages


Functional resume formats are common in highly technical careers, such as data science. Why? Because your skills and abilities may be more important to your employer than your history. List your skills first.

Functional resumes highlight skills with definitive proof of them in action. The functional resume can also include your work history, with or without employment dates. Don’t forget to include your educational background.

You could also choose to develop a combination resume. This format is especially useful if you have a long history in the career field. You will highlight your abilities as with a functional resume, followed by a reverse chronological listing of your work experience and education.


Because you wish to highlight your technical skills, the design of your resume can serve as a showcase. You may choose to create infographics to visually represent your skill set. You could also use icons to draw attention to any computer software with which you are familiar.


In the United States, it is generally not advisable to include a photo on your resume unless you are specifically asked to do so.

If applying to a data science position outside of the U.S., research common practices in that country. In some European countries, for example, photos are expected.

Sections of a Data Scientist Resume

Your resume should first highlight the technical skills that are vital to performing your job. Crucial resume sections include:

  • Contact information
  • Education
  • Technical skills
  • Work history

Depending on the format you choose, some of these sections may be combined into one. For example, if using a functional format, you could include your work history in your skills summary rather than listing it separately.

You may also choose to include additional information that may heighten your value as an employee. For example, you could add:

  • Objective statement
  • Soft skills
  • Languages

Soft skills, such as communication or problem solving under pressure, should not constitute a separate section but should be integrated into your skills summary. If you speak a language other than English, this could increase your value in certain environments, for example, if working in a multilingual environment or analyzing data from a foreign source. Be sure to list your language proficiencies if applicable.

Typically, resumes do not exceed one to two pages in length. Keeping your resume under two pages is ideal. However, if you have a great deal of relevant experience, it is permissible to create a three-page resume.

Use an online resume template or world processor document to format your resume to fit letter-sized, 8.5 by 11-inch paper.

Data Scientist Resume Section Headings

Your technical abilities are key to landing a job as a data scientist. Therefore, the sections to which you will give the most attention highlight these qualifications.


Carefully analyze the job listing or description to determine what skills are most vital to the job you are considering. List these first, and highlight each with an example of its use. If you can provide numerical data to support your success with a certain skill, include it.


Most data scientists have attained a Master’s Degree and some a Ph.D. Your educational background is, therefore, an important barometer of your skills. Include your undergraduate and graduate degrees. Common majors include mathematics, engineering, statistics, computer science, economics, or other sciences such as biology, psychology, chemistry, or physics.

If you have completed additional training or received certifications, include these as well.

Work experience

This section is especially important if your work history demonstrates experience in the data science field. If using a functional resume, you may list your relevant work in the explanatory notes of the skills summary. In a combination resume, it is listed in reverse chronological order.

Last modified on July 17th, 2019

Jobless due to COVID? Let Resume Coach help you get your next job ASAP.