Data Scientist Resume Examples

According to the Bureau of Labor Statistics, jobs for data scientists, also known as computer and information research scientists, are projected to grow by 16% from 2018 to 2028. However, it is currently a small occupation, so this will only amount to approximately 5,200 new jobs. The growth is mainly driven by businesses that are increasingly collecting data to gain insights on customer preferences and behavior.

Although the number of jobs for data scientists is expected to grow, it’s likely that there will continue to be strong competition for positions. A well-written resume can help you stand out from other job applicants and increase your chances of being interviewed. On this page, you’ll find downloadable resume examples for entry level data scientists as well as those with experience. You can also find tips on writing better resumes and tailoring your resume to a specific job description.

Downloadable Resume Examples

No Experience

Example #1 No Experience

2-3 Years

Example #2 2-3 Years

5-10 Years

Example #3 5-10 Years

10+ Years

Example #4 10+ Years

Data Scientist Resume Examples

Years of Experience
  • No Experience 0
  • 2-3 Years 2-3
  • 5-10 Years 5-10
  • 10+ Years 10+

Samar Patel
(123) 456-7890
[email protected]
125 Main Street, Seattle, WA 12345

Profile

Flexible and enthusiastic data scientist with good presentation and interpersonal skills. Strong analytical capabilities with experience in programming languages and machine learning. Team player who can work on multiple priorities in a fast-paced environment.

Key Skills

  • Languages: R, C++, Python
  • Machine learning
  • Communication and interpersonal skills
  • Data mining and data wrangling
  • Critical thinking and problem solving skills

Education

Master of Science and Analytics
Northwestern University, Evanston, IL, September 2018 – June 2020

Bachelor of Computer Science
Texas A&M University – College Station, College Station, TX, September 2014 – June 2018

Professional Experience

Data Science Intern, Alpha, Inc., Chicago, IL
October 2018 – May 2020

  • Used R and SQL to format, clean, combine and filter millions of lines of ticket booking data
  • Analyzed and visualized data to predict annual revenues and translated information into a report to present to company executives
  • Assisted in creation of a machine learning model to be used to analyze customer lifetime value based on different variables

Sales Team Leader, Campus Bookstore, College Station, TX
September 2016 – June 2018

  • Tracked sales data to ensure stock was received in a timely manner, especially at the beginning of semester
  • Managed team of eight staff, including rostering, training and ensuring compliance with policies and procedures
  • Provided optimal customer service, including administering all customers issues and inquiries

Jamila Amari
(456) 789-0123
[email protected]
144 Second Avenue, Raleigh, NC 23456

Profile

Highly analytical problem solver with three years of experience in a data science environment. Has a solid statistical background with knowledge of real estate and security systems and terminology. Able to work collaboratively and communicate complex technical concepts in plain language.

Key Skills

  • Statistical and mathematical skills
  • Advanced communication skills
  • Data management
  • Languages: C++, R, Java
  • Collaboration

Education

Master of Science in Analytics
North Carolina State University – Raleigh, Raleigh, NC, September 2015 – June 2017

Bachelor of Science in Mathematics
University of Wisconsin – Madison, Madison, WI, September 2011 – June 2015

Professional Experience

Junior Data Scientist, Omega Real Estate, Raleigh, NC
July 2017 – Present

  • Collaborate with team members to improve customer relationship management database, leading to improved customer service outcomes in a high-volume real estate firm
  • Used predictive analytics including data mining techniques to forecast company sales with 94% accuracy
  • Increase data security by updating encryption, IP security and wireless transmission processes

Data Scientist Intern, Delta Security, Raleigh, NC
June 2016 – September 2016

  • Gathered and analyzed information relating to system security and cyber threat intelligence
  • Utilized analytics involving large datasets to improve models for cyber threat indicators
  • Helped develop new algorithms to improve system accuracy and security

Joshua Robertson
(789) 123-4560
[email protected]
2434 Third Road, San Antonio, TX 34567

Profile

SAS certified data science professional with excellent research and analytical skills. More than eight years of hands-on experience using predictive analytics and classical modeling techniques to create data insights for the finance industry. Able to work in teams and individually to complete projects on time and on budget.

Professional Experience

Data Scientist, Sigma Systems, San Antonio, TX
April 2016 – Present

  • Collect, analyze and interpret raw data from various websites
  • Combine analyses of massive data sets with theoretical knowledge to solve problems for finance industry
  • Develop algorithms and analytical models using SAS, R and Hadoop to be able to predict sales outcomes with confidence

Data Scientist, Gamma Finance, Dallas, TX
July 2012 – March 2016

  • Analyzed datasets and communicated insights to business owners to assist with data-driven decision making
  • Developed dashboards and reports that communicate a story and provide visualization of data in a way that can be best utilized by internal customers
  • Evaluated business processes and recommend data science solutions to improve efficiency

Education

Master in Data Science and Analytics
University of Oklahoma, Norman, OK, September 2011 – June 2012

Bachelor of Science of Information Technology
University of Tulsa, Tulsa, OK, September 2007 – June 2011

Key Skills

  • Data visualization and communication
  • Machine learning
  • SQL and Hadoop
  • Risk analysis and problem solving abilities
  • Software engineering experience

Certifications

  • Senior Data Scientist, Data Science Council of America, 2018
  • SAS Certification, 2019

Elena Hernandez
(321) 987-6543
[email protected]
552 Fourth Boulevard, Buffalo, NY 45678

Profile

Microsoft certified data scientist with 11+ years of experience executing data-driven solutions to increase efficiency and accuracy. Proven track record of developing large scale algorithms that significantly impacted business outcomes. Excellent skills programming in Java, C++ and R. Strong leadership, communication and research abilities with knowledge of the health care industry.

Professional Experience

Senior Data Scientist, Omicron Biotech, Buffalo, NY
January 2012 – Present

  • Assist in scientific research into vaccines and analyzed the results
  • Collect, study and interpret large datasets of research results, collate reports and perform accurate data management
  • Develop forecasting models to increase productivity and efficiency
  • Provide monthly reports to executives detailing the progress of research

Data Scientist, Kappa Corporation, Albany, NY
July 2009 – December 2011

  • Led big data machine learning initiative that developed and deployed algorithms that allowed business to grow over 200%
  • Developed model to accurately predict fraud activity, resulting in 75% decrease in company losses
  • Used computer programming skills in R, Python and SAS to link data collected on-platform and off-platform to create thorough datasets that predict successful product development initiatives

Education

Master of Science in Data Science
New York University, New York, NY, September 2007 – June 2009

Bachelor of Arts in Computer Science
University of California – Berkeley, Berkeley, CA, September 2003 – June 2007

Key Skills

  • Experience leading multi-disciplinary teams
  • Coding skills in R, Python, C++, Java
  • Big data, data mining and data visualization
  • Risk analysis and problem solving skills
  • MySQL and JSON

Certifications

  • Microsoft Certified Solutions Expert, 2019
  • SAS Certified Big Data Professional, 2017

Common Key Skills and Action Verbs for Data Scientist Resumes

Highlighting key skills and appropriate action verbs can be crucial to getting your resume noticed. Hiring managers use applicant tracking systems (ATS) to scan resumes and evaluate them based on the number of keywords and phrases that are included. Those with a higher match are highlighted for hiring managers, so the more keywords you include on your resume, the greater the chances of being invited for an interview.

Key Skills & Proficiencies
Business acumen C++
Coding Communication skills
Critical thinking Data architecture
Data management Data visualization
Data wrangling Intellectual curiosity
Java Machine learning
Math Problem solving
Process improvement Python
R Programming Risk analysis
Statistics Systems engineering
Teamwork Time management
Action Verbs
Analyze Calculate
Code Collaborate
Collect Communicate
Compute Create
Debug Document
Engineer Evaluate
Improve Innovate
Organize Prepare
Program Solve
Visualize

Tips for Writing a Better Data Scientist Resume

Highlight your data science soft skills

Data science requires much more than crunching numbers. While you should definitely emphasize your data science hard skills and experiences, it’s important to show hiring managers your soft skills. After you analyze data you must be able to clearly communicate your insights to other people on your team, including those who may not have a strong knowledge of data science. In addition to communication, employers look for those who can lead and work in a team. Make sure to emphasize at least one soft skill that you excel in or that’s featured in the job description.

Example #1

Good


Analyze large datasets and develop reports that clearly communicate insights to company management in order to drive successful product development

Bad


Analyze large datasets to predict successful products

Example #2

Good


Collaborated with end-users to determine their data requirements and worked as a team to develop dashboards and reports that best served their needs and provided necessary data visualization

Bad


Developed dashboards and reports for team to access data

Emphasize your data science educational achievements

Education is important in data science positions, so be sure to include your schooling details, including the school name and location, your graduation year and the degree you earned. You can also include extra information about your educational achievements to help you stand out. Employers look for applicants that have knowledge of their industry or the type of data they work with, so be sure to emphasize any coursework, projects and experience that match their needs.

Example #1

Good


Taught grades K-2 with classes of up to 27 students

Master of Computational Data Science
Carnegie Mellon University, Pittsburgh, PA, September 2007 – June 2009
Human-Centered Data Science Concentration
Relevant Coursework:

  • E-Learning Design Principles and Methods
  • Learning Analytics & Educational Data Science
  • Crowd Programming

Bad


Master of Computational Data Science
Carnegie Mellon University, Pittsburgh, PA, September 2007 – June 2009

Example #2

Good


Master of Science in Data Science
DePaul University, Chicago, IL, September 2015 – June 2017
Health Care Concentration
Coursework in Health Informatics and Electronic Health Records
Capstone Project: Predicting disease outbreaks among college populations

Bad


Master of Science in Data Science
DePaul University, Chicago, IL, September 2015 – June 2017

How to Align Your Resume With the Job Description

Hiring managers use job descriptions to define the skills and experience an applicant would need to be successful in their company and the position they’re trying to fill. In order to stand out from other candidates, it’s important to include the keywords that match what the hiring manager has detailed.
If you’re not sure what to feature, start by highlighting the requirements listed in the job description. Generally requirements that are listed first or mentioned more than once are the most important. Ensure your resume describes how you can deliver on these key priorities. You can stop your resume from sounding generic by focusing on notable contributions and avoiding copy and pasting.

Example Data Scientist Job Description


Lambda Systems is looking for a data scientist to join their Health Insights team, which provides data science support for hospitals and health departments. The team provides analytical support related to identifying health trends and causal impacts, analyzing experiments, and modeling and predicting future health needs of cities and counties. Must be able to visualize data and communicate insights clearly to a non-technical audience. Experience analyzing large datasets and utilizing Hadoop strongly preferred. 

Responsibilities:

  • Identify valuable data sources and manage collection processes
  • Combine internal and external datasets to gain insights into overall population
  • Analyze large amounts of data to identify trends and patterns
  • Prepare reports and data visualization and communicate insights to health care and government clients
  • Build predictive models and algorithms
  • Work collaboratively with healthcare professionals to determine the data needs of clients
  • Manage time to complete tasks for multiple clients on tight deadlines

Qualifications:

  • Master’s Degree in Data Science or related field
  • Experience in health care industry, including knowledge of medical terminology
  • Proficient with one or more programming languages (C++, R, Python)
  • Experience conducting big data analysis, preferably using Hadoop
  • Experience applying data science methods to real-world health data problems
  • Ability to use visualization tools to present large volumes of information 

The job description indicates that the ideal job applicant should have the following skills and experience:

  • Big data experience
  • Identify data sources
  • Identify trends
  • Hadoop
  • Health care industry experience
  • Data visualization
  • Analysis skills
  • Communication skills
  • Predictive modeling abilities

Use the keywords that you highlighted in the job description to build your resume. Include the experience and skills you have that match. Below is an example of how to best incorporate them in your resume:

Data Scientist Work Experience Example


Data Scientist, Upsilon Health, New York, NY
January 2016 – December 2019

  • Identified both internal and external sources of health information and collected and prepared information ready for analysis
  • Used Hadoop to analyze big datasets of disease and health condition information
  • Developed predictive models and algorithms to identify future health trends in a population and recommend where new facilities should be built
  • Utilized data visualization best practices to communicate insights from large amounts of data to people in health care and government