Senior Data Scientist - Remote

Req ID: RQ144261
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: None
Job Family: Data Science
Skills:
Analytical Techniques,Data Analysis,Data Visualization Software,Healthcare Claims,Medical Claims Processing
Experience:
5 years of related experience
Job Description:
At GDIT, people are our differentiator. Our work depends on a Fraud, Waste and Abuse (FWA) Data Scientist joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities.
As a FWA Data Scientist supporting the Healthcare Fraud Prevention Partnership, you will be trusted to collaborate with Subject Matter Experts and other Data Scientists to create unique fraud detection methodologies within a multi-billion record database made up of a large partnership of public and private healthcare payers.
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.
HOW A SENIOR DATA ANALYST WILL MAKE AN IMPACT *:
- This position will be responsible for development and execution activities in multi-payer environments by creating, reviewing, and maintaining statistical analysis plans, providing data interpretation, and generating reports in support of proposed research questions.
- The FWA Data scientist will develop statistical tests for FWA modeling results and provide predictive analytic statistical support.
- This position is responsible for preparing timelines for statistical project management and performs and interprets basic and complex analyses.
- The FWA Data Scientist will provide quality review on statistical analysis and programs plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol, by collaborating with other statisticians and programmers to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process.
- This position requires documenting analyses, creating summaries, and presenting written and verbal results for FWA study reports.
- The FWA Data Scientist will effectively communicate statistical and data-related concepts to non-statisticians (managers, researchers in other fields, etc.).
- This team member will be called upon to lead or co-lead small project teams as necessary.
WHAT YOU'LL NEED TO SUCCEED:
- Master's Degree in Statistics or related field.
- 5 years of experience in statistical and computer-science related field(s).
- 5 years of experience using SAS or similar software, performing datamining and statistical modeling for healthcare Fraud, Waste and Abuse or other utilization review.
- 5 years client relation activities, ingesting and synthesizing customer requirements and effectively communicating complex healthcare analytic outcomes to client satisfaction.
- 5 years expertise in medical terminology and all healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG and the like).
- 5 years of experience datamining for healthcare fraud, waste and abuse, or other utilization review, in large, multi-payer databases with diverse health care benefit structures and claim processing systems, including private plans (commercial insurance), Federal (Medicare), or State public plans (Medicaid).
- 5 years of 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).
- Demonstrated expertise in the complete Microsoft Office Suite including Word, Excel, and PowerPoint (candidate may be called upon to show examples from portfolio or submit practicum assignments).
- US citizen or Permanent Resident
- Must be able to obtain/maintain Public Trust
DESIRED QUALIFICATIONS:
- Competence and experience in the following programming languages and platforms: Python and/or R (via JupyterHub), Snowflake, SQL, Linux, AWS.
- Competence and experience with the Atlassian Suite or similar software (Jira, Confluence, BitBucket, etc.)
- Experience with a GIT-based development workflow.
- Experience using Tableau or other data visualization software, with demonstrable experience communicating and visualizing complex healthcare analytic outcomes (candidate may be called upon to show examples from portfolio or submit practicum assignments).
- Ability to communicate technical outcomes with a high degree of detail and precision to technical audiences, while at the same time being able to communicate those outcomes to non-technical audiences in an approachable and understandable manner.
- 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, team-oriented environment with minimal supervision.
GDIT IS YOUR PLACE:
- 401K with company match.
- Customizable health benefits packages.
- Internal mobility team dedicated to helping you own your career.
- Challenging work that makes a real impact on the world around you.
- Full-flex work week.
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.
COVID-19 Vaccination: GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.
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.