Data Scientist Resume

Feel free to use this Data Scientist Resume example to update your own resume. Even though this is a free resume example, it is important to adjust your own resume to present your relevant work history and skills according to the job you are applying for.

Our resume examples are written by certified resume writers and is a great representation of what hiring managers are looking for in a Data Scientist Resume. Use this example for reference as you create your own resume or use this easy resume builder that will guide you through every step of your building your resume in just a few minutes.

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Here is the Data Scientist Resume example:

Data scientists are charged with gathering and organizing important information, then providing groundbreaking conclusions and comprehensive breakdowns of their findings. In addition to a four-year college degree in a field like data management, statistics, or computer science, an individual in this field needs to have an excellent attention to detail, strong analytical skills, and the ability to communicate results effectively to individuals who may not be as well-versed in the data.

Your data scientist resume should highlight extensive learning in the areas of science, mathematics, and communications. If you did extremely well in school, your education might be an asset that can help you long into your career. Three data scientist resume format choices are provided below to give you a feel for the vast and varied amount of experience that candidates in this field might have when they hit the job market.

Entry-Level Resume

Your entry-level resume should focus strongly on your education, as it is important to detail that you meet all the prerequisites to become a bright and intuitive data scientist. You should also be sure to mention any relevant experience you may have had during or after your academic career. The data scientist resume example below provides an entry-level candidate named Tabitha Dupree who fared extremely well in school and who is now ready to take the next step in the field.

Tabitha Dupree

31 Spear Street

Enfield, CT 06082

Home: (860) 533-9511

Cell: (860) 806-6088

[email]

EXTREMELY KNOWLEDGEABLE DATA SCIENTIST

PROFILE

Very well-educated data scientist candidate with excellent statistical knowledge and the ability to identify fine points of data in a sea of information. Well-versed in spreadsheets, statistics, and scientific research. Able to process new data quickly and communicate it effectively to lay individuals.

EDUCATION

MASSACHUSETTS INSTITUTE OF TECHNOLOGY, Cambridge, MA

Bachelor of Science in Statistics, 2014

Relevant Courses

Data Mining
System Identification
Data Modeling
Econometrics
Statistical Consulting

KEY SKILLS

Professional Skills

Data analysis
Data evaluation
Statistics
Econometrics
Mathematical models
Communication
Microsoft Windows
Mac OS X
Linux

Mid-Level Professional Resume

The majority of data scientist candidates have a few years of experience in this field but have not reached the level of “experienced professional” just yet. In this case, develop your resume with an eye on specific skills that differentiate you from other potential candidates. Using the data scientist resume sample provided below as a guideline, lead with your unique and fascinating professional qualities before delving into work history.

Dean Watson

34 Cannes Road – Enfield, CT 06082 – (860) 983-5561 – [email]

DATA SCIENTIST

Strong statistical knowledge and analytic ability

Knowledgeable and detail-oriented data scientist with multiple years of experience utilizing statistical models.
Broad scientific and mathematical knowledge with ability to apply learning to real-world situations.
Excellent communication skills.
Strong organizational and time management abilities.

EXPERTISE

Statistical analysis:Create and modify statistical models, noting their efficacy and the limits of the data provided.

Data interpretation:Monitor study results and interpret data in a manner which provides clarity and an undeniable conclusion.

Communications: Communicate detailed statistical and scientific findings to lay individuals.

EXPERIENCE

Insight Developments (Enfield, CT)

Data Scientist, 10/2013-Present

Acquire and analyze business data. Create statistical models based on researched information in order to provide conclusions that will guide the company and the industry into the future. Coordinate with team members to create impactful analyses and forward-thinking strategies. Communicate with executives and managerial staff regarding data findings and potential new technologies.

University of Rhode Island (Kingston, RI)

Data Scientist, 12/2011-10/2013

Conducted experimental modeling using computation programs and eye-tracking research. Coordinated a team of five other scientists and research assistants. Performed regular research and gathered new statistical evidence at every opportunity. Communicated with deans and departmental heads regarding findings.

EDUCATION

Master of Science in Statistics, University of Rhode Island, 5/2011

Bachelor of Science in Statistics, University of Rhode Island, 5/2007

Experienced Professional Resume

Gaining many years of experience in this field is an impressive feat by itself, so your data scientist resume can afford to emphasize work history at this level more than you would have at an earlier stage in your career. By this time, many data scientists, such as Ms. Kane in the data scientist sample resume presented below, have acquired a master’s degree or PhD in this field. If you have not done so, you need to make sure you put every effort into emphasizing your scientific and statistical knowledge.

Lana Kane

(555)-555-5555 | 44 Midfield Lane | Enfield, CT 06082 | [email]

Experienced data scientist with strong analytical abilities.

DATA SCIENTIST

Highly organized and efficient data scientist with an in-depth knowledge of research and statistical knowledge. Innovative and capable of developing new solutions and interpretations. Strong communication skills and able to teach new methods to those who are willing to learn.

CORE COMPETENCIES

Statistical models – Comprehensive scientific research – Reporting software – Data analysis – Rational and denormalized databases – Spreadsheet management – Scientific communications – Team-building – Interpretation of new and unexpected information

Professional Experience

DATA INTERPETATIONS, INC. – Enfield, CT

Developing comprehensive analysis methods and research models.2009-PresentMASSACHUSETTS INSTITUTE OF TECHNOLOGY – Cambridge, MA

Provided high-level institutional research and data development2008-2009MASSACHUSETTS INSTITUTE OF TECHNOLOGY – Cambridge, MA

Offered strong research insight and analysis.2007-2008