**Req ID:** RQ194628 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** None **Public Trust/Other Required:** Other **Job Family:** Data Science **Skills:** Data Analysis,Data Mining,Python (Programming Language),Statistical Analysis,Structured Query Language (SQL) Development **Experience:** 2 + years of related experience **Job Description:** The **Associate in Metrics and Data Analytics** will be responsible for supporting analytical, statistical, and programming efforts to collect, analyze, and interpret large data sets and develop data-driven solutions to the difficult business challenges of healthcare claims Fraud, Waste and Abuse (FWA). This individual will study development and execution activities that occur in a multi-payer environment. The team member will have advanced statistical and programming skills and the ability to analyze healthcare claims across Medicare, Medicaid and private payers. They will be responsible for creating, reviewing, and maintaining analysis plans, providing data interpretation and generating reports. These duties will be performed in support of FWA studies using healthcare claims data. **HOW AN ASSOCIATE IN METRICS AND DATA ANALYTICS WILL MAKE AN IMPACT:** + Assist with study design and develop plans for data analysis in support of proposed FWA topics or schemes. + Develop statistical tools and tests executed against FWA modeling results and provide predictive analytic support and measures of success. + Prepare timelines for project management and performs and interprets basic and complex analyses against diverse data sets. + Utilizes knowledge of statistical methods, computer programming and medical understanding to propose and perform additional analyses when appropriate. + Documents analyses, creates summaries, and presents written and verbal results for FWA study reports as well as to the leadership team. + Provides quality review on statistical analysis and programs plan to ensure consistency with processes and procedures to meet defined objectives. + Effectively communicate statistical and data-related concepts to non-statisticians (managers, researchers in other fields, etc.). + Serve as a analytic support for assigned research and FWA studies using healthcare claims data and other healthcare data sources. + Collaborate with other statisticians and programmers to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process. + Exceptional problem-solving abilities, accuracy with work, strong organizational skills, attention to detail and the ability to multi-task while meeting deadlines. + Excellent communication skills, both written and verbal, and especially the ability to communicate data clearly to clients. + Ability to work in a fast-paced and agile, team-oriented environment with minimal supervision. **WHAT YOU'LL NEED TO SUCCEED:** + Bachelors or Master’s Degree in Statistics or related field, or an equivalent combination of education of education and experience. + Superior skills conducting statistical and mathematical modeling and analysis using Python, SQL, Snow SQL, Tableau Server, MS Excel, and Amazon Web Services. + Experience in other programming languages commonly used in data science will also be considered. + Advanced skills for modeling and data manipulation purposes. + Competence and demonstrated expertise in the complete Microsoft Office Suite including: Word, Excel, and PowerPoint. + Experience working with healthcare administrative data across Medicare, Medicaid, and/or commercial insurance, as well as third party data assets. **DESIRED SKILLS AND ABILITIES:** + Experience with client relation activities, ingesting and synthesizing customer requirements and effectively communicating complex healthcare analytic outcomes to client satisfaction. + Experience in medical terminology and all healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG and the like). + Experience datamining for healthcare fraud, waste and abuse in large, multi-payer databases with diverse health care benefit structures and claim processing systems, including private plans (commercial insurance) as well as Federal and State public plans (Medicare and Medicaid). + Experience researching, interpreting and applying payer medical (coverage) policies (e.g., LCDs, NCDs, private carrier medical policies) and common industry claim edits (e.g., NCCI). + Experience conducting health care related statistical analysis and intimately familiar with healthcare institutional claims (UB 04 claim form). **SECURITY CLEARANCE LEVEL:** + The candidate selected for this role must be eligible to obtain a public trust clearance. This requires residency in the U.S. for 3 of the last 5 years. **WHAT GDIT CAN OFFER YOU:** + The GDIT HFPP Trusted Third Party is the only data warehouse of its type anywhere, bringing in many billions of healthcare claims from dozens of healthcare payers, including federal, state and local plans both public and private. We use this data warehouse solely for fraud, waste and abuse analytics. + The TTP is responsible for identifying overpayments, fraud leads, and meaningful insights about abusive billing behaviors through a cross-payer lens. Government and private healthcare. organizations collaborated to form the HFPP as a public-private partnership to combat fraud, waste, and abuse. + Competitive pay and benefits, flexible work schedule, collaborative inter-disciplinary environment where the best idea wins. **\#GDITPublicHealthJobs** **\#GDITJobs** The likely salary range for this position is $71,400 - $96,600. 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. 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. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans