Sr Data Scientist (Healthcare & Medicaid)
- Conduct data analysis or research in one or more Medicaid and CHIP data domains to include Eligibility and Enrollment Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and Health outcomes
- Handle analyses around a very large dataset, identifying outliers, and utilization rate calculations across different geographies.
- Perform predictive data analysis work to determine forecast utilization or enrollment seasonality.
- Dive deep into data quality standards, working closely with project leadership, to identify what constitutes a 'good' dataset by considering if the data has referential integrity, if it conforms to expected values, and is comprehensive.
- Present these findings and analysis in a clear format to project and client leadership.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree required.
- Must be able to obtain and maintain the required Public Trust clearance for this role.
- 8+ years of experience in data science, data analysis or data engineering functions.
- 5+ years of advanced Python experience for data manipulation and analysis.
- 5+ years of experience with Databricks for data engineering.
- 2+ years of experience in Medicaid/Medicare analysis, rules, and compliance.
- Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Advanced SQL skills.
- Experience with large health care datasets including claims, enrollment, providers, and financials preferred.
- Master's degree preferred.
- Previous Federal Health experience preferred.
- Active Public Trust clearance preferred.
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