To be considered for top data scientist jobs, it makes a difference to have a comprehensive and optimized resume. In most situations, hiring managers will only read a data scientist resume if it passes the applicant tracking system (ATS) software. The ATS scans resumes for relevant keywords and discards those that don’t meet certain requirements.
Save time by downloading our data scientist resume sample and fill in your personal information. After that, revisit your resume for a data scientist for each job you want to apply to, adjusting the content according to each company’s needs. This means you must carefully read each job listing, individuate, and add the keywords to your data scientist resume and remove any redundant or counterproductive information.
Avoid using synonyms and only abbreviate terms if they are also abbreviated in the job description. Add or remove sections as you please but know that a well written resume for data scientist roles should be no more than two pages long and have clear formatting. Data scientist resume PDF or DOC formats are the preferred file types by most recruiters, tables and columns aren’t recommended and your sections should have a standard heading to make them easy to interpret for the ATS systems.
If you need to build an entry-level data scientist resume and don’t have a lot of information to add in the professional experience section, smartly use other the sections to add necessary keywords. Some ideas to try are:
- Adding a professional summary
- Emphasizing your education by listing classes taken, theses written, achievements and certifications obtained that in some way can help you show off more of your qualities and skills
- Adding your voluntary work
- Adding a list of your best skills and strength
Data Scientist Resume
Anna Smith
San Diego, CA 55555 | (555) 555-5555 | name@email.com | LinkedIn.com/anna.smith
Data Scientist | Quantitative Analyst
Providing data-driven, action-oriented solutions to challenging business problems
Business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. Relied on as a key advisor in driving global, multibillion-dollar growth; gains in customer loyalty; and record-setting profit improvements.
Expertise
- Data and Quantitative Analysis
- Decision Analytics
- Predictive Modeling
- Data-Driven Personalization
- KPI Dashboards and BPI Plans
- Big Data Queries and Interpretation
- Data Mining and Visualization Tools
- Machine Learning Algorithms
- Business Intelligence (BI)
- Research, Reports and Forecasts
Professional Experience
Company One — Los Angeles, CA (Subscriber-based provider of streaming digital movies and TV)
Data Scientist, 20XX to Present | Sr. Analyst, 20XX to 20XX | Research Associate, 20XX to 20XX
Furnish executive leadership team with insights, analytics, reports, and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.
- Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.
- Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
- Identified, measured, and recommended improvement strategies for KPIs across all business areas.
Quantifiable results:
- Propelled 2-year revenue growth from $1.2B to $3.25B.
- Achieved an 87% renewal rate (15% above goal) in 2017.
- Boosted market share by 16%, customer satisfaction by 25% and mobile users by 350% in 20XX.
Teaching Appointments: Teach undergraduate and graduate-level courses in statistics and economics as an adjunct faculty member at ABC University (20XX to Present) and XYZ University (20XX to 20XX).
Education
University One | Ph.D. in Statistics | MA in Behavioral Economics
University Two | BS in Mathematics, Minor in Computer Science
Of Note
Data and Analytics Tools/Languages: Spark, SparkR, R, Python, Scala, Hive, SQL, SAS, Tableau, SPSS, Hadoop, Stata, Google Analytics, Amazon Web Services
Publications and Presentations: Available at website.com
Download and revise this data scientist resume template resume example to add your own information.
Employment of computer and information research scientists is projected to grow 26%, over double the average 8% for all occupations. The average data scientist salary is $127,698 with a low of $92,370 and a high of $184,657 depending on characteristics such as location and years of experience. Find out what the average salary is for data scientists in your town using Monster’s Salary Tool.
You can also compare this value to that in the following U.S. cities are where data scientists are most in demand:
See all data scientist jobs near you son Monster’s database.
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