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5 Essentials of a Data Scientist Resume in 2021


According to the Beaure of Labor Statistics, the job growth in the information technology and data science field will witness a 15% job growth from 2019 to 2029, which is higher than 4% average for all occupations.

Not only that, according to Linkedin, Data Science has become one of the fastest-growing jobs in the USA, and its demand is growing day by day. 

In this growing market, even if you are a skilled professional with 10+ years of experience or a fresher, you need to draft an eye-catching resume if you want to get a job. 

It may look like a daunting task. But in this blog, we will discuss all the essentials for creating a data science resume.

This blog will show you:

  • How to create the header section of the data science resume?
  • How to write your skills effectively in the data science resume?
  • How to present your work experience in a professional way in the data science resume?
  • How to address your educational qualification in the data science resume?

Data Scientist Resume: Header

The header is the top-most element in the data science resume. And It consists of six elements.

  • Your full name 
  • Your Phone Number that is available 24/7
  • Your Professional Email Id
  • Your Location in City, Country Code format
  • Your Linkedin Profile ID (Optional)
  • The Job Title

This seems to be basic information, but it can cost you your job if not done right. 

If you make a mistake on your contact number or email address, it won’t be possible for the recruiters to contact you even if you are selected.

Here is a snapshot of the data scientist resume header:

Data Scientist Resume: Summary

Many people write resume objectives instead of a skill-oriented resume summary. Resume objectives do not talk about the candidate’s experiences and what they can do for the organization, making it dull and ineffective. 

On the other hand, a perfectly curated resume summary gives the recruiter all the necessary information and helps you get selected for an interview. 

Here are some of the tips to write a resume summary:

  • Do not use bullet points to write the resume summary; instead, use paragraphs.
  • Ensure to wrap up the resume summary within 3-4 lines
  • Talk about your skills and accomplishments in the resume summary section
  • Start the resume summary with your years of experience followed by job title

Here’s an example of a data scientist resume summary:

Data Scientist Resume Skills

The skill section is one of the vital sections in the data scientist resume. It helps the recruiters understand your skills without reading the entire resume. 

You can create two separate sections to make this more effective, one for your core competencies and one for your technical skills. 

  • Key Skills: This section consists of all of your core skills for example:
      • Data Analysis
      • Data Visualization
      • Database Management
      • Data Mining
      • Project Management
      • Stakeholder Management
      • Data Presentation
      • Machine Learning
  • Technical Skills: In this section, add all of your technical skills under relevant subheadings—for example, Tools, Programming Languages, Operating Systems, etc. 

Always refer to the job description while creating the key skills section. Identify keywords related to the job and add those keywords in the key skills sections to get your resume passed by the ATS systems. 

Since 98% of fortune 500 companies use ATS to review resumes, this is an essential step to create a data scientist resume.  

Here is an example of data scientist resume skills:

Data Scientist Resume: Professional Experience 

Professional experience is the most important section of the data scientist’s resume. 

It provides detailed information about the candidate’s skills and achievements in their past career. Here are some tips for writing the professional experience section of your resume.

  • Use reverse chronological order to write the professional experience section of the resume.
  • Always use single-line bullet points to describe your key contributions
  • Start each bullet points with a power verb such as “Assisted,” “Collaborated,” “Developed,” “Managed,” “Created,” etc.
  • Back up your accomplishment with statistics and numbers as much as possible
  • Highlight vital statistics and words on the bullet points to put more emphasis on those
  • Club related bullet points under one sub-heading to make it easier for the recruiters to scan. 

Here’s an example of the professional experience section of the Data Scientist Resume.

Data Scientist Resume: Education

The minimum requirement to become a data scientist is a Bachelor’s degree in mathematics, statistics, or computer science, So, you need to mention these details in the data scientist resume. 

  • If you are a fresher, add your high school education experience to the resume in a reverse-chronological format. 
  • If you are experienced, only add your most recent education information to the resume.
  • Add your GPA only if it’s higher than 3.5 out of 4.0

Here is an example of the education  section in the data scientist resume:

Key Takeaways

After writing the resume, always make sure to proofread the resume two or three times to ensure there are no grammatical or spelling errors in the resume.

Here are some of the key takeaways from the blog:

  • Make sure that you have added correct contact details in your resume
  • Do not write the resume summary in bullet format. Use paragraph and wrap up the summary within 3-4 sentences
  • Create separate sections for key skills and technical skills in your resume
  • Write your previous experiences in the reverse chronological format in the data scientist resume