Associate Metrics & Data Analytics

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

Data Analysis, Data Mining, Python (Programming Language), Statistical Analysis, Structured Query Language (SQL) Development

Certifications:

Experience:

2 + years of related experience

US Citizenship Required:

No

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. You will be a part of a 5-person team supporting the Trusted Third Party fraud, waste and abuse data analytics.

We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important. GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.

We think. We act. We deliver. There is no challenge we can’t turn into opportunity.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT:

• This position is within a multi-disciplinary team of Data Scientists, Business Intelligence Analysts and FWA Subject Matter Experts. Our team is 100% remote and distributed throughout the country.
• 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.
• Develop statistical tests for FWA modeling results and provide predictive analytic statistical support.
• Prepare timelines for statistical project management and perform and interpret basic and complex analyses.
• 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.
• Document analyses, create summaries and present written and verbal results for FWA study reports.
• Communicate statistical and data-related concepts to non-statisticians (managers, researchers in other fields, etc.).

WHAT YOU'LL NEED TO SUCCEED:

• Bachelors Degree in Data Science, Statistics or related field.
• 2-3 years of experience in statistical and computer-science related field(s).
• Competence and experience using Tableau, with demonstrable experience communicating and visualizing complex healthcare analytic outcomes.
• Competence and demonstrated expertise in the complete Microsoft Office Suite including: Word, Excel, and PowerPoint.
• Competence and demonstrated experience in the following programming languages and platforms: Linux, SQL, SnowSQL, Python and/or R.

DESIRED QUALIFICATIONS AND EXPERIENCE:

• 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).
• Ability to communicate technical outcomes with a high degree of detail and precision to technical audiences, while at the same time being a