Data Scientist Manager

About the role

The Data Scientist Manager supports the Centers for Medicare & Medicaid Services (CMS) anti-fraud activities through the Healthcare Fraud Prevention Partnership (HFPP). They lead a team of Data Scientists in developing models and algorithms to detect and describe actionable Fraud, Waste, and Abuse (FWA) leads.

Responsibilities

• 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.
• Create, review, and maintain statistical analysis plans; interpret data; and generate 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

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).

Qualifications

• Big Data, Data Analytics, Health Data, Structured Query Language (SQL) Development

Skills

• Big Data
• Data Analytics
• Health Data
• Structured Query Language (SQL)
• Development

Benefits

The GDIT HFPP TTP is the only data warehouse of its kind, containing billions of healthcare claims from dozens of public and private payers. This environment exists exclusively to perform FWA analytics. The TTP identifies overpayments, fraud leads, and insights into abusive billing behaviors through a cross-payer lens. The HFPP is a public-private partnership dedicated to combating fraud, waste, and abuse in healthcare. We offer competitive pay and benefits, a flexible schedule, and a collaborative, interdisciplinary environment where innovation thrives.

Pay

The likely salary range for this position is $129,813 - $167,900. 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.

Schedule

Scheduled Weekly Hours: 40

Additional Work Locations

Total Rewards At GDIT: 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.

About GDIT

We are GDIT. 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. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer

GDIT is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.