Data Scientist Advisor

General Dynamics Information Technology, Inc.; Fort Bragg (NC); On-site; USD 128,000 - 173,000; Full time

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Science Advisor to lead the POTFF Enterprise Data and Analytics function. You will supervise data engineers and scientists, shape analytical strategy, and deliver defensible analyses for government decision-making.

The role requires strong methods, Python/R, SQL, and leadership experience. You will collaborate with senior leadership, design evaluations, and ensure compliance with IL5 and privacy policies while advancing enterprise

Qualifications

• Requires strong data science, statistics, or research methods experience.
• Hands-on data analysis with Python or R and SQL preferred.
• Experience supervising or leading analysts is required.
• US Citizenship required for government contracts.
• Minimum 8+ years of related experience.

Responsibilities

• Lead the Enterprise Data and Analytics function and manage analytical backlog.
• Advise on research methodologies, data collection strategies, and program evaluation.
• Design and oversee government-directed program evaluations and ROI analyses.
• Ensure data quality, reproducible methodology, and compliance with IL5, HIPAA, and privacy policies.
• Translate priorities into analytical requirements and develop performance measures and dashboards.
• Prepare reports and briefings for government leadership and stakeholders.
• Coordinate with government data teams on data access and standards.
• Maintain currency in statistics, AI/ML, data engineering, and visualization tech.
• Lead and mentor data science personnel and oversee training programs.

Skills

Analytics

Data Analysis

Datasets

Quantitative Analysis

Research Methodologies

Education

Master’s degree in a quantitative discipline

Bachelor’s degree in a quantitative discipline

Job description

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Analysis, Datasets, Quantitative Analysis, Research Methodologies Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes

Job Description: 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 an Data Science Advisor joining our team to support customer activities. The Data Science Advisor (DSA) leads the POTFF Enterprise Data and Analytics function and serves as the primary analytical advisor to the Enterprise POTFF Director, Domain Leads, and the Human Factors Council (HFC) on research methodologies, data collection strategies, and program evaluation.

The DSA coordinates and directs the technical work of the Data Engineers, Data Scientists, and Senior Data Scientists under their purview, subject to Government direction; sets the analytical agenda in response to Government priorities; ensures that methods are sound, reproducible, and defensible; and delivers findings to Government leadership in a form suitable for decision-making.

HOW A DATA SCIENCE ADVISOR (DSA) WILL MAKE AN IMPACT:

Serve as the lead for the Enterprise Data and Analytics function: plan, prioritize, assign, and review the work of the Data Engineers, Data Scientists, and Senior Data Scientists under their purview in response to Government-directed requirements, and manage the analytical backlog using an Agile or comparable framework.

Serve as the primary analytical advisor to the Enterprise POTFF Director, Domain Leads, and the HFC regarding research methodologies, data collection strategies, study design, and program evaluation.

Design and oversee Government-directed program evaluations, analyses, and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions; select appropriate statistical models and study designs; and ensure data quality and defensible, reproducible methodology.

Establish and maintain the team’s analytical standards, data governance practices, reporting methodologies, and performance-measurement frameworks in coordination with Government data governance, and ensure compliance with DoW Impact Level 5 (IL5), HIPAA, Privacy Act, and applicable DoW artificial intelligence and machine learning (AI/ML) policy.

Translate Government priorities into analytical requirements; support the strategic planning process for POTFF programs with data-driven decision support; and support the development of enterprise performance measures, executive dashboards, and readiness metrics.

Prepare and deliver reports, briefings, and decision-support products that accurately convey findings, limitations, and recommendations to Government leadership.

Provide consultation to supported units and POTFF staff on opportunities and methods for capturing data on POTFF programs and initiatives, and on the interpretation of analytical products.

Coordinate with the USSOCOM Enterprise Data Team and other Government data organizations on data access, standards, and shared platforms, as directed by the Government.

Perform advanced analysis personally when required, and maintain currency in statistical analysis, data science, AI/ML, data engineering, and visualization technologies.

Coordinate and advise on the training and professional development of the data science personnel under their purview, subject to Government approval.

WHAT YOU’LL NEED TO SUCCEED:

EDUCATION: Master’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; or a bachelor’s degree in such a discipline with the additional experience stated under Required Minimum Experience/Skills below.

With a Master’s degree: minimum of seven (7) years of professional experience applying data science, statistics, or research methods to real-world problems, including at least two (2) years supervising or leading analysts.

With a bachelor’s degree: minimum of ten (10) years of such experience, including at least two (2) years supervising or leading analysts.

In either path, at least three (3) years must be hands-on practice as a data scientist, statistician, or equivalent analyst personally performing the analyses, rather than supervising or advising.

Degree‑program work does not count toward the Data Science Advisor experience requirement.

Demonstrated expertise in research methods, study design, and program evaluation, including quantitative and qualitative methods, sufficient to design defensible evaluations and to advise senior leaders on their limitations.

Advanced proficiency in Python or R and in SQL, and demonstrated experience delivering statistical or predictive models and decision-support products to organizational leadership.

Demonstrated supervisory experience leading a data science, analytics, or research team, and experience running a program or project of comparable scope.

Ability to communicate effectively both orally and in writing with senior leadership, negotiate complex issues, develop a range of alternatives when there is no single solution, and establish and maintain good working relations with stakeholders.

PREFERRED QUALIFICATIONS:

Desired (not required): Experience with human performance, sports science, health, clinical, or biomedical data or research.

Desired (not required): Agile or Scrum certification (e.g., Certified ScrumMaster, PMI Agile Certified Practitioner) or comparable training.

Desired (not required): A doctoral degree in one of the disciplines listed above, or a history of peer-reviewed publications.

Desired (not required): Familiarity with the Government-furnished technology stack (e.g., Databricks and Apache Spark, Power BI, Microsoft Power Platform) and with Palantir Foundry.

LOCATION:

Various CONUS SITES

CLEARANCE: Secret or Top‑Secret Clearance, or the ability to obtain clearance.

This is a contingent posting, expected to start in 2027.

GDIT IS YOUR PLACE:

• 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 #MilitaryHealthGDITJobs
• Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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.
• To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year.
• Paid leave and paid holidays are prorated based on the employee’s date of hire.
• The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
• To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
• We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

THE SALARY RANGE:

The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

WORK HOURS AND TRAVEL:

Scheduled Weekly Hours: 40

Travel Required: Less than10%

Telecommuting Options: Onsite Work Location: USA FL Hurlburt Field - 229 Cody Ave (FLC017)

Additional Work Locations: USA CA San Diego, USA NC Fort Bragg, USA WA Joint Base Lewis-McChord

EEO/DEI STATEMENTS:

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world.

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