Data Scientist Resume Examples And Tips

The average resume reviewer spends between 5 to 7 seconds looking at a single resume, which leaves the average job applicant with roughly six seconds to make a killer first impression. Thanks to this, a single typo or error on your resume can disqualify you right out of the gate.

At Zippia, we went through over 3,198 Data Scientist resumes and compiled some information about how best to optimize them. Here are some suggestions based on what we found, divided by the individual sections of the resume itself.

See More Example Resumes

Five Key Resume Tips For Landing a Data Scientist Job:

Relevant Experience
Make sure that the jobs, experience, and accolades that you do include are relevant to the position you’re applying for.
The Right Skills
This is a great time to run wild with those keywords found in the job description. If they’re looking for someone with R, be sure to list it as a skill.
Quantifiable Achievements
Achievements and awards relevant to the position speak louder than a high GPA, especially if you can quantify your achievement with a number.
Your Unique Qualities
Recruiters and hiring managers are looking at hundreds of resumes. Let yours stand out, and try not to sound too boring.
Strong Content
If you’ve had a lot of jobs, this shouldn’t necessarily be a list of all of them. This is a document designed to market you to a potential employer, so choose the strongest content.

How To Write a Data Scientist Resume

Contact Information
First things first — employers only spend about six seconds looking at resumes before they decide to keep them or throw them away, so you should definitely let them know whose it is.
Commute and relocation are things that employers take into consideration when sifting through candidates, so provide your current address in your resume header so that employers have an idea of where you are in relation to their office.
LinkedIn Profile
If you feel that a link to your social media profile could further your standing as a candidate, go ahead and include it. This doesn’t mean you should throw in a link to your hilarious Twitter profile, but instead provide your LinkedIn profile.
Professional Summary (Objective)
Career objective statements are one of the most overlooked pieces of otherwise stellar resumes. It’s not that every Data Scientist CV out there needs one — it’s just that the ones that really do need them typically never think to include them.
The goal of this section is simple: to summarize the resume in a few short sentences. Through your resume summary you enable employers to quickly learn whether you are a good match for the job. Here are a few things to keep in mind when writing a professional summary:
Keep it short: it should be 4 sentences max
Highlight your most impressive skills or achievements

Not sure which skills are really important?

3 Big Tips For Listing Skills On Your Resume
Make sure to only include your hard skills on your resume. In addition, include the most in-demand data scientist skills. Below we have listed the top skills for a data scientist : The more keywords your resume can “match,” the more likely it is that your resume will be selected for review by human eyes.
Top Skills for a Data Scientist
R, 8%
Pl/Sql, 7%
Python, 7%
See All Data Scientist Skills
Here are a few key points of to keep in mind while writing your skills section:
Include between 6 to 12 skills
Make sure to only include hard skills
Highlight your most impressive skills or achievements
We compared 3,198 resume examples and job offers and found that the average experience required for a data scientist job required by employers is 3.1 years.
How much work experience do employers want to see?
The average data scientist job listing asks for 3.1 years of work experience.
How much work experience does the average data scientist candidate have?
The average data scientist resume contains 6.0 years of work experience.
Write your work experience section in a way that embraces your data scientist skills. Sounds easier said than done? Take a look at how other people have done it. Below are real examples from data scientist resumes that people have included in their work experience section to demonstrate their knowledge of key skills:
Quantitative Analyst

Candidate Info

Years In Workforce
Years As a Data Scientist
Master's Degree
Master's Degree - Statistics
  • Analyzed and proposed custom benchmarks for clients.
  • Performed benchmark analysis by comparing constructed Smart Beta ETF portfolios with market-cap-weighted portfolio;.
  • Performed asset/liability studies for clients and prospects.
  • Used SQL to pull relevant data from Oracle databases.
  • Utilize SAS, SQL, Oracle, Teradata, DB2 and MS Office analysis tools to complete analysis requirements.
Associate Software Engineer

Candidate Info

Years In Workforce
Years As a Data Scientist
Master's Degree
Master's Degree - Engineering
  • Managed profiles in various software environments using PeopleSoft applications Executed daily Unix batch processes while training new employees
  • Designed UI using HTML, CSS, Javascript Developed dynamic UI using Angular JS.
  • Trained in PL/SQL and C++.
  • Provided solution and enhancement for client side scripting using JQuery and client proprietary libraries.
  • Packaged compression solution as a reusable library and was used by multiple projects throughout Accenture.
Data Scientist

Candidate Info

Years In Workforce
Years As a Data Scientist
Doctoral Degree
Doctoral Degree - Area Studies
  • Bank of America has many data sources in Mainframe and Distributed Applications with Traditional DW with Teradata.
  • Performed data imputation using Scikit-learn package in Python.
  • Developed MapReduce programs to apply ETL on Risk domain datasets.
  • Performed data processing using Python libraries like Numpy and Pandas.
  • Determine best serialization methodology to store and retrieve the data like Text, Sequential, Avro and Parquet file format.
Data Scientist

Candidate Info

Years In Workforce
Years As a Data Scientist
Master's Degree
Master's Degree - Psychology
  • Write code in Python, R, and Pig.
  • Learned Hadoop and HDFS platform for big data and Used Hive and Pig to pull data sources together.
  • Experience in NoSQL Column-Oriented Databases like HBase and its integration with Hadoop cluster.
  • Provided detailed design for system modules/components with the vision of future extensibility and scalability.
  • Used advanced analytics techniques such as regression, decision trees and optimization to design algorithms for advertisement targeting.
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Since data scientist roles are fairly specialized, a strong educational background is important. Our data showed that most data scientist resumes list a master's degree as the highest level of education.
Based on our analysis of data scientist resumes, the most common major for data scientist candidates is Computer Science, but other majors made their way in as well. Statistics, Information Systems and Mathematics were relatively common.
As shown above, the Education section can be very brief. However make sure to include the following:
The name of the school you attended
The year you attended
Your major
Your GPA
The level of education you attained

Data Scientist Salary

Did your resume land you an interview? Be prepared to talk salary.

How To Answer "What Are Your Salary Requirements"

When you are ready to send your resume to employers, it's important to be aware of the current market conditions for Data Scientists. Salary can vary based on factors such as location, company, and industry. Check out our detailed salary information for Data Scientists to learn more.

Average Employee Salary
Min 10%
Median 50%
Max 90%