FPS Statistical Model Manager

Clearance Level
None
Category
Data Science
Location
Remote, Based in Maryland

REQ#: RQ92306

Travel Required: Less than 10%
Requisition Type: Regular

We are GDIT. We take pride in providing our clients with the data and statistical analysis they need to make important decisions that impact the world around us.

You make GDIT your place by delivering insights to help our clients make impactful changes real. By owning your opportunity at GDIT, you’ll become a critical part in how we successfully solve our clients’ biggest challenges. Our work depends on a Statistical Model Manager joining our team to support our customer, Centers for Medicare and Medicaid Services (CMS) in Baltimore, Maryland.

GDIT is under contract to the Centers for Medicare & Medicaid Services (CMS) to design, develop, engineer, implement, enhance, and maintain statistical algorithms to detect and prevent potential fraud, waste or abuse in the Medicare and Medicaid programs. The contract is part of the Fraud Prevention System (FPS) Modeling and Analytics contract. GDIT are responsible for post-payment (models) and pre-payment (edits) identification and implementation to support this CMS’ Center for Program Integrity (CPI) initiative.
 

At GDIT, our people are at the center of everything we do. As a Statistical Model Manager supporting our customer (CMS/CPI), you will be trusted to work on specific technology and data science tools to detect and prevent fraud, waste, and abuse (FWA) across the Medicare and Medicaid programs. In this role, a typical day will include:

  • Lead a team of analysts, programmers, statisticians, and healthcare experts in designing advanced algorithms to detect fraud, waste or abuse in the Medicare and Medicaid programs
  • Develop and present innovative solutions to effectively target healthcare vulnerabilities and prevent inappropriate payments.
  • Implement open-ended data merges, data analysis plans, and perform complex data manipulation and reporting tasks
  • Develop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences
  • Interact with your team, other members of management, and the customer
  • Gather and organize information for use in supporting decision-making process
  • Collect, manipulate, analyze, evaluate, and display data using visualization tools
  • Perform data analysis and create data summaries using descriptive statistics
     

WHAT YOU’LL NEED:

  • Required Qualifications:
    • Masters degree with 8+ years related experience, or Bachelors degree with 10+ years related experience.  A concentration in statistics, data science, and/or data mining tools is preferred. 
    • Mastery of statistical and mathematical modeling, analysis, data mining and machine learning using SAS, R, and/or Python
    • Mastery using SQL for modeling and data manipulation purposes
    • 3+ years of leading teams and developing innovative solutions
    • Proven ability in developing and presenting solutions to complex, open-ended problems
    • Experience using statistical algorithms, techniques, and models to define data for data integrity and process analytics
    • Proven ability in proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
    • Superior experience with customer service skills working proactively and collaboratively with Federal research, compliance, and policy staff/stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and datasets
    • Experience supporting data governance policies and supporting infrastructures spanning diverse stakeholders
    • Experience using manipulating and presenting data using MS tools including Excel and PowerPoint
       
  • Desired Qualifications:
    • Experience conducting healthcare studies and implementing business intelligence tools/solutions in collaboration with Federal customers and stakeholders
    • Knowledge of business intelligence, ETL, data analytics, and data warehouse COTS solution space
    • Experience working with and supporting a commercial/production software solution that is live 24/7.
    • Experience using data visualization tools such as including Tableau
    • Experience conducting health care related research and analytics
    • Superior written and verbal skills. Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences
    • Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks, accordingly, remaining flexible to changing priorities and new initiatives

      WHAT GDIT CAN OFFER YOU:

  • 401K with company match
  • Challenging work
  • Internal mobility team dedicated to helping you own your career
  • Rewards program for high-performing employees


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The likely salary range for this position is $120,000 - $180,000, 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.

View information about benefits and our total rewards program.

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.