Sr. Healthcare Data Scientist

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science

Job Qualifications:

Skills:

Data Science, Medicaid, Medicare

Certifications:

Experience:

2 + years of related experience

US Citizenship Required:

No

Job Description:

We are GDIT. We take pride in providing our clients with the data 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 is looking for a Sr. Data Scientist to help us support the Centers for Medicare and Medicaid Services (CMS). At GDIT, our people are at the center of everything we do. As a Data Scientist Associate supporting CMS, you will be trusted to work on leading data science tools to detect and prevent fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs. In this role, a typical day will include:

• Contributes to completion of technical tasks independently and as part of a team.
• Analyzes claims data and conducts statistical analysis.
• Develops data-driven solutions to business challenges of advanced scope/complexity
• Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
• Assists with identifying opportunities for leveraging Medicare and Medicaid data to drive insightful business solutions.
• Present findings to a range of audiences (technical/non-technical) and to various levels of leadership.
• Performs additional duties as assigned.

Required Skills:

• Bachelors degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or related area
• Minimum of 2 years of experience conducting advanced analyses of Medicare and/or Medicaid data
• Familiarity with R or Python for data science (including machine learning)
• Familiarity and experience with one or more of the following data science packages: Pandas, NumPy, Tensorflow, Scikit learn, Seaborn, GGplot, Matplotlib
• Familiarity with SQL, Databricks, Snowflake and Spark languages/technologies
• Understanding of statistics and basic analytic model development principles such as feature engineering, attribute selection, threshold setting, train/test split, etc.
• Familiarity with SAS programming language is a plus
• Ability to create data visualizations to present complex analyses and to illustrate trends

The likely salary range for this position is $80,226 - $133,973. 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.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

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 in