[Remote] Data Scientist Manager

Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology is seeking a Data Scientist Manager to support the Centers for Medicare & Medicaid Services (CMS) anti-fraud activities. The role involves leading a team of Data Scientists to develop models and algorithms that detect and describe actionable fraud leads, while collaborating with various stakeholders to enhance healthcare fraud analytics.

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. 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

Skills

• 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)
• 7 + years of related experience
• Experience with AWS and/or Snowflake environments
• Ability to communicate technical outcomes in detailed, precise terms to technical audiences, while also explaining them in accessible ways for non‑technical audiences
• Strong problem‑solving skills, accuracy, organizational skills, attention to detail, and the ability to multitask under deadlines
• Excellent written and verbal communication skills, especially the ability to convey data clearly to clients
• Ability to work in a fast‑paced, team‑oriented environment with minimal supervision

Benefits

• 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
• 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 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
• 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

Company Overview