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About the Role

We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important. GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day. We think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on Senior Data Scientist joining our team to support customer activities.

Responsibilities

Perform all responsibilities of the Data Scientist labor category.
Lead analytical projects of enterprise scope, including analyses that support Government-directed evaluations of program efficacy, Return on Investment (ROI), and preventative risk factors; select methods, define validation approaches, and ensure results are defensible and reproducible.
Review the analytical design, code, and results of Data Scientists for methodological soundness before delivery to the Government.
Instruct and mentor Data Scientists and other contract personnel in data science practices, tools, and the Government-furnished technology stack.
Develop and maintain analytical standards, business rules, model assumptions, validation procedures, and reproducible methodologies for the data science team, in coordination with the Data Science Advisor.
Design, develop, and automate enterprise dashboards, executive scorecards, Key Performance Indicators (KPIs), Measures of Performance (MOPs), and Measures of Effectiveness (MOEs) as requested by the Government.
Advise Government personnel on the appropriate use, limitations, and interpretation of analytical products and models.

Requirements

Bachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration, with documented coursework or professional application in statistics, programming, and quantitative analysis.
Minimum of five (5) years of professional experience applying data science or statistical methods to real-world problems; or a Master’s degree in one of the disciplines listed above and a minimum of three (3) years of such experience.
Degree-program work does not count toward the Senior Data Scientist experience requirement.
Meet all qualifications of the Data Scientist labor category, with proficiency demonstrated through professional work experience rather than degree-program projects alone.
Advanced proficiency in Python or R, with disciplined software practices (modular code, testing, version control), and in SQL.
Demonstrated experience developing, validating, and delivering statistical or predictive models that informed organizational decisions.
Demonstrated experience leading analytical projects and reviewing or mentoring the work of other analysts.
Demonstrated knowledge of experimental or quasi-experimental design, causal inference, or program-evaluation methods used to evaluate intervention effectiveness.
US Citizenship Required: Yes
Top Secret clearance must currently be possessed.
Top Secret/SCI clearance must be obtainable.

Skills

Datasets
Predictive Modeling
Quantitative Analysis
Quantitative Methods
Statistical Methods
Python
R
SQL
Databricks
Apache Spark (PySpark)
NLP
LLM
Microsoft Power Platform (Power Apps and Power Automate)
Palantir Foundry
Human performance
Sports science
Health
Clinical
Biomedical data

Location

Various CONUS SITES
USA FL Hurlburt Field - 229 Cody Ave (FLC017)
USA CA San Diego
USA NC Fort Bragg
USA WA Joint Base Lewis-McChord

Work Type

Onsite
40 hours per week

Experience Level

5+ years of related experience
Minimum of five (5) years of professional experience applying data science or statistical methods to real-world problems; or a Master’s degree in one of the disciplines listed above and a minimum of three (3) years of such experience.

Education Level

Bachelor’s degree in a quantitative discipline
Master’s degree in one of the disciplines listed above

Salary/Compensations

$111,155 - $150,385

Benefits

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays
Variety of medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
Full flex work weeks where possible
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
15 days of paid leave per calendar year to be used for vacations, personal business, and illness
10 paid holidays per year
Paid leave and paid holidays are prorated based on the employee’s date of hire.
Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
Short and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance

About the Company

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.
Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.
We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Equal Opportunity

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans