Data Scientist Resume Examples 2023

Research Summary. We analyzed 1,878 data scientist resumes to determine which ones land the most jobs. Below you'll find examples of resumes that can help you get an interview (and a job offer) from companies like Microsoft and Meta. Here are the key facts about data scientist resumes to help you get the job:

The average data scientist resume is 620 words long
The average data scientist resume is 1.4 pages long based on 450 words per page.
Python is the most common skill found on a data scientist resume. It appears on 13.5% of resumes.

After learning about how to write a professional data scientist resume, you can make sure your resume checks all the boxes with our resume builder.

Data Scientist Resume Example


Joe Coleman Data Scientist Contact Information McLean, VA (640) 555-9898 jcoleman@example.com Skills Linux Image Processing Natural Language Processing R Android Elasticsearch Data Science Elisa Data Warehouse Systems Analysis Employment History Data Scientist 2018 - Present Capital One McLean, VA Support project teams with data collection, data analysis and fixing data issues. Report scheduling using Tableau server, Built and published customized interactive reports and dashboards. Provided data analysis and data modeling for the Data Warehouse (DW), a DB2 UDB database. Experience with creating ETL jobs to load JSON data and server data into MongoDB and transformed MongoDB into the Data Warehouse. Research Engineer 2017 - 2018 Agilent Technologies Wilmington, DE Maintained hardware lab consisting of acceSS7 hardware, HP-UX, RedHat Linux and Sun Solaris servers. Prepared, updated and maintained process instructions as well as hardware and software documentations. Proposed and demonstrated proof of concept experiments to guide strategy for new product development and increasing production yields. Developed RF, analog, digital and mixed circuits for defense industry Involved in helping the UNIX and Splunk administration to deploy Splunk across the UNIX and windows environment. Systems Engineering Internship 2015 - 2016 Xerox Rochester, NY Performed data integrity testing by executing SQL and PL/SQL statements. Performed system integration testing of the TITAN5500 Class 5 Networking SONET Switching System. Repaired and troubleshot PC hardware, software and printer issues. Managed project following Risk Bases Project Management (RBPM). Education Master's Degree Computer Science 2016 - 2017 New Jersey Institute of Technology Newark, NJ Bachelor's Degree Computer Science 2012 - 2015 University of Maryland - College Park College Park, MD


Evelyn Carroll Data Scientist Contact Info Redmond, WA (890) 555-7837 ecarroll@example.com Skills Data AnalysisProceduresRAnti-Money LaunderingAWSProblem ResolutionTimely DeliveryInventory AccuracyPurchase OrdersHtml Employment History Data Scientist 2015 - Present Microsoft Redmond, WA Promoted within to a Data Scientist role to focus on strategic initiatives and interpret big data into business insights. Managed connectivity using JDBC for querying/inserting & data management including triggers and stored procedures. Used Scala programming as well to perform transformations and applying business logic. Observe process of database management and data collection in Microsoft SQL Server. Analyst 2008 - 2015 JPMorgan Chase San Antonio, TX Work with supervisors, trainers, and subject matter experts to better coordinate concepts and procedures critical to job function. Involved in establishing the JPMorgan AGORA Project Management system with various gates through the SDLC. Compiled and maintained the Information Technology project management goal metrics required for senior management review. Logistics Coordinator 2001 - 2002 GameStop Denton, TX Identify and resolve supply chain issues. Learned what metrics on the Logistics Scorecard represented and how to calculate a variety of these metrics. Coordinated global supply chain initiatives for Sega Dreamcast accessories launch. Education Master's Degree Biology 2002 - 2003 Texas A&M University San Antonio San Antonio, TX Bachelor's Degree Biology 1993 - 1996 University of North Texas Denton, TX


Joe Coleman Data Scientist McLean, VA jcoleman@example.com (640) 555-9898 Experience Data Scientist 2018 - Present Capital OneMcLean, VA Support project teams with data collection, data analysis and fixing data issues. Report scheduling using Tableau server, Built and published customized interactive reports and dashboards. Provided data analysis and data modeling for the Data Warehouse (DW), a DB2 UDB database. Experience with creating ETL jobs to load JSON data and server data into MongoDB and transformed MongoDB into the Data Warehouse. Research Engineer 2017 - 2018 Agilent TechnologiesWilmington, DE Maintained hardware lab consisting of acceSS7 hardware, HP-UX, RedHat Linux and Sun Solaris servers. Prepared, updated and maintained process instructions as well as hardware and software documentations. Proposed and demonstrated proof of concept experiments to guide strategy for new product development and increasing production yields. Developed RF, analog, digital and mixed circuits for defense industry Involved in helping the UNIX and Splunk administration to deploy Splunk across the UNIX and windows environment. Systems Engineering Internship 2015 - 2016 XeroxRochester, NY Performed data integrity testing by executing SQL and PL/SQL statements. Performed system integration testing of the TITAN5500 Class 5 Networking SONET Switching System. Repaired and troubleshot PC hardware, software and printer issues. Managed project following Risk Bases Project Management (RBPM). Skills Linux Image Processing Natural Language Processing R Android Elasticsearch Data Science Elisa Data Warehouse Systems Analysis Education Master's Degree Computer Science 2016 - 2017 New Jersey Institute of TechnologyNewark, NJ Bachelor's Degree Computer Science 2012 - 2015 University of Maryland - College ParkCollege Park, MD

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How your resume should look:

The job title on your resume should match your application for the role.
Ensure your work experience focuses on achievements, rather than responsibilities.
Recruiters and hiring managers suggest fitting your resume on one page.

Choose From 10+ Customizable Data Scientist Resume templates

Zippia allows you to choose from different easy-to-use Data Scientist templates, and provides you with expert advice. Using the templates, you can rest assured that the structure and format of your Data Scientist resume is top notch. Choose a template with the colors, fonts & text sizes that are appropriate for your industry.

Data Scientist Resume Format And Sections

1. Add Contact Information To Your Data Scientist Resume

Your name should be the biggest text on the page and be at or near the top of the document.

Your address doesn't need to include your street name or house number - listing your city and state works just fine.

Your email address should be professional, but not your current work email address. It's not a good look to use your work email for personal projects (job-searching).

Your social media can be included if you have a fully-fledged LinkedIn page or another social media page that showcases your relevant skill set.

Data Scientist Resume Contact Information Example #1

Hank Rutherford Hill

St. Arlen, Texas | 333-111-2222 | hank.hill@gmail.com

Do you want to know more?

How To Write The Perfect Resume Header

2. Add Your Relevant Education To The Resume

Your resume's education section should include:

The name of your school
The date you graduated (Month, Year or Year are both appropriate)
The name of your degree

If you graduated more than 15 years ago, you should consider dropping your graduation date to avoid age discrimination.

Optional subsections for your education section include:

Academic awards (Dean's List, Latin honors, etc. )
GPA (if you're a recent graduate and your GPA was 3.5+)
Extra certifications
Academic projects (thesis, dissertation, etc.)

Other tips to consider when writing your education section include:

If you're a recent graduate, you might opt to place your education section above your experience section
The more work experience you get, the shorter your education section should be
List your education in reverse chronological order, with your most recent and high-ranking degrees first
If you haven't graduated yet, you can include "Expected graduation date" to the entry for that school

Check More About Data Scientist Education

Majors

15.2%

12.4%

11.7%

7.7%

Data Scientist Resume Relevant Education Example #1

Master's Degree In Computer Science 2016 - 2017

New Jersey Institute of Technology Newark, NJ

Data Scientist Resume Relevant Education Example #2

Master's Degree In Computer Science 2016 - 2017

Purdue University West Lafayette, IN

3. Next, Create A Data Scientist Skills Section On Your Resume

Your resume's skills section should include the most important keywords from the job description, as long as you actually have those skills. If you haven't started your job search yet, you can look over resumes to get an idea of what skills are the most important.

Here are some tips to keep in mind when writing your resume's skills section:

Include 6-12 skills, in bullet point form
List mostly hard skills; soft skills are hard to test
Emphasize the skills that are most important for the job

Hard skills are generally more important to hiring managers because they relate to on-the-job knowledge and specific experience with a certain technology or process.

Soft skills are also valuable, as they're highly transferable and make you a great person to work alongside, but they're impossible to prove on a resume.

Example Of Data Scientist Skills For Resume

Python Skills
Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.
Data Science Skills
Data science refers to a multidisciplinary discipline that utilizes scientific techniques, procedures, frameworks, and structures to derive information and observations from various organized and irregular data sets.
Java Skills
Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.
Hadoop Skills
Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.
Data Visualization Skills
Data visualization is the process of presenting data in a more beautiful, elegant, and descriptive way in front of others using visual elements such as charts, graphs, maps, or any other type of visual presentation. This makes the data more natural for the human mind to comprehend and thus makes it easier to spot trends, patterns, and outliers within large data sets.
Predictive Models Skills
In an effort to understand what could happen in the future, predictive models provide the statistical analytics to estimate the possibilities. With predictive modelling, relevant data is collected for the subject that requires forecasting, analysed and modelled to create different outcomes. The importance of this is to provide a basis for decision making that will foster a desired outcome for a business or government.
Machine Learning Algorithms Skills
Machine learning algorithms involve the engines of machine learning. It consists of the algorithms that turn a data set into a model.

Top Skills for a Data Scientist

Source: Zippia.com

Python, 13.5%

Data Science, 9.9%

Visualization, 5.3%

Java, 4.5%

Other Skills, 66.8%

Not sure which skills are really important?

3 Big Tips For Listing Skills On Your Resume

4. List Your Data Scientist Experience

The most important part of any resume is the experience section. Recruiters and hiring managers expect to see your experience listed in reverse chronological order, meaning that you should begin with your most recent experience and then work backwards.

Don't just list your job duties below each job entry. Instead, make sure most of your bullet points discuss impressive achievements from your past positions. Whenever you can, use numbers to contextualize your accomplishments for the hiring manager reading your resume.

It's okay if you can't include exact percentages or dollar figures. There's a big difference even between saying "Managed a team of engineers" and "Managed a team of 6 engineers over a 9-month project."

Most importantly, make sure that the experience you include is relevant to the job you're applying for. Use the job description to ensure that each bullet point on your resume is appropriate and helpful.

What Experience Really Stands Out On Data Scientist Resumes?

Earvin Balderama Ph.D.

Assistant Professor of Statistics, California State University, Fresno

What really stands out on a resume are research projects, especially ones that are outside of the normal curriculum. Sometimes, applicants talk about a particular project, from beginning to end, for an entire interview session, and they get the job because of it. Managers are usually impressed when an applicant can explain their thought process as they struggled through a project because it mimics what will happen in the real world. Students should definitely seek out independent research opportunities while they're in school. Show more

Don't have any experience?

How To Show Your Experience On a Resume... Even When You Don't Have Any

Work History Example # 1

Logistics Coordinator

Nordstrom

Coordinated efforts within the area to ensure the timely and efficient turn of freight through the facility.
Provided employees and subordinate supervisors with direction and advice regarding policies, procedures, and guidelines.
Consolidated and communicated process of return authorizations between carriers and warehouses using TMS and GERP systems.
Maintained ERP inventory system to provide accurate information for sales and customer service departments.
Created the first USCS enterprise wide integrated systems concept.

Work History Example # 2

Data Engineer

Eby-Brown

Created the tables in Hive and written data in using Talend hive components.
Streamed real time data by integrating Spark with Kafka for dynamic price surging.
Involved in transfer of data from post log tables into HDFS and Hive using SQOOP.
Designed Teradata BTQ scripts to move high volumes (> 100 million records daily) of data.
Diagnosed and produced solutions to problems such as scalability to thousands of processing units and load balancing on terabytes of data.

Work History Example # 3

Data Scientist

Microsoft

Consolidated 5 regional billing applications and increased business efficiency of business software sales.
Hired to solve tough high level problems with low level analytics.
Streamlined existing processes to increase timeliness and decrease errors; developed PowerPoint presentations and communicated weekly dashboard status to management.
Improved curriculum materials in python, machine learning and statistical inference.
Implemented HTTP requests to call the specific API using the python libraries.

Work History Example # 4

Quantitative Analyst

Nationstar Mortgage

Modeled exotic options like volatility/variance swap and dual currency deposits.
Developed and implemented firm-wide global and domestic equity, and global fixed income performance attribution systems.
Updated data templates with Barclays POINT and Bloomberg.
Performed data mining and statistical analysis on loan performance using SQL and R. Visualized loan performance and effects of different factors.
Revamped the analytics framework in Python

5. Highlight Your Data Scientist Certifications On Resume

Certifications can be a powerful tool to show employers that you know your stuff. If you have any of these certifications, make sure to put them on your data scientist resume:

Associate - Data Science Version 2.0
AWS Certified Machine Learning – Specialty
IBM Certified Data Engineer - Big Data

More Certifications For Data Scientist

6. Finally, Add a Data Scientist Resume Summary Or Objective Statement

A resume summary statement is a 1-3 sentence spiel at the top of your resume that quickly summarizes who you are and what you have to offer. In this section, include your job title, years of experience (if it's 3+), and an impressive accomplishment, if you have space for it.

Remember to address skills and experiences that are emphasized in the job description.

Are you a recent grad?

Read our guide on how to write a resume summary statement

And If You’re Looking for a Job, Here Are the Five Top Employers Hiring Now:

Common Data Scientist Resume Skills

Python

Data Science

Visualization

Java

Hadoop

Tableau

Data Analytics

Data Visualization

TensorFlow

Machine Learning Techniques

Predictive Models

Machine Learning Algorithms

Neural Networks

Scala

Machine Learning Models

SAS

Statistical Analysis

Natural Language Processing

AWS

Pandas

Scikit-learn

Data Collection

Keras

Math

Predictive Analytics

Regression

Power Bi

B Testing

MATLAB

Text Mining

Statistical Methods

Statistical Models

Azure

Time Series Analysis

NumPy

Decision Trees

Extraction

ETL

Linux

NoSQL

GIT

A/B

Exploratory Data Analysis

Logistic Regression

Strong Analytical

Patients

Cloud Computing

SPSS

Data Scientist Jobs

Links To Help Optimize Data Scientist Resumes

Updated May 19, 2023