Data Scientist Manager

General Dynamics Information Technology

Data Scientist Manager leading a team in healthcare fraud prevention analytics for CMS. Collaborating on FWA models and algorithms with professionals in data science and business intelligence.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $129,813 - $167,900 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage a team of Data Scientists working within a multidisciplinary organization of Data Scientists, Business Intelligence Analysts, and FWA Subject Matter Experts
Plan, direct, and oversee the development and execution of FWA models and algorithms in multi-payer environments
This includes creating, reviewing, and maintaining statistical analysis plans; interpreting data; and generating reports to address research questions
Facilitate collaboration between the Data Science team, FWA SMEs, Business Intelligence Developers, and clients to develop meaningful analyses and provide predictive analytic support
Direct the design and maintenance of automated data pipelines, in partnership with data engineers and Business Intelligence Developers, feeding analytic outputs to the server environment for HFPP partner access
Deliver strong, compelling presentations to clients and stakeholders, effectively communicating insights and value propositions from TTP analytic outputs
Split responsibilities between management (40%) and hands‑on development/coding (60%)
Oversee quality reviews of analytic outputs to ensure methodological integrity, adherence to protocol, and compliance with applicable access standards
Document processes, best practices, and strategies for current and future FWA models and algorithms, optimizing business efficiencies and process improvements
Manage a team of 5–8 Data Scientists.

Requirements

What you’ll need

Master’s degree in Statistics or a related field, or an equivalent combination of education and experience
7+ years of experience in statistical and computer science–related fields
Experience using SQL and Python for healthcare FWA data mining and statistical modeling
Experience managing client interactions, gathering and synthesizing requirements, and communicating complex analytic outcomes clearly
Proven experience presenting FWA analytic outcomes to clients, stakeholders, or conferences
Expertise in medical terminology and healthcare coding systems (ICD‑10, CPT, HCPCS, DRG, etc.)
Experience conducting FWA data mining in large, multi-payer databases spanning commercial insurance and public plans (Medicare and Medicaid)
Experience researching, interpreting, and applying payer medical policies (LCDs, NCDs, private carrier policies) and industry claim edits (NCCI)
Prior experience managing analytics teams, with strong supervisory and mentorship capabilities
Proficiency with the Microsoft Office Suite, including Word, Excel, and PowerPoint (portfolio samples or practicum assignments may be requested).

Benefits

Comp & perks

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
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
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
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
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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Statistical AnalysisData MiningStatistical ModelingFWA Models and AlgorithmsSQLPythonQuality ReviewData Pipeline DesignAutomated Data ProcessingHealthcare Analytics

Soft Skills

Client CommunicationTeam LeadershipMentorshipPresentation SkillsCollaboration