Assistant Vice President, Health Analytics Data Scientist

Assistant Vice President, Health Analytics Data Scientist

About the Company

Recognized provider of insurance, HR & outsourcing solutions

Industry
Financial Services

Type
Public Company

Founded
1987

Employees
10,001+

Categories

• Consulting
• Professional Services
• Risk Management
• Consulting & Professional Services
• B2B
• Enterprise
• SAAS
• Compensation and Benefits
• Customer Relationship Management Software(CRM)
• Data Mining
• Digital Media
• Economics
• Finance
• Insurance
• Financial Services
• Human Resources
• Risk Analysis
• Brokerage
• Outsourcing Services
• Retirement Communities
• Investing
• Cybersecurity
• Environment
• Business Management and Planning

Specialties

• professional services
• aviation
• energy
• environmental
• power
• risk management
• insurance
• actuarial & analytics
• brokerage
• crisis management
• marine
• consulting
• reinsurance
• human resources
• property
• casualty
• financial services
• construction
• claims consulting
• and space

Business Classifications

• Enterprise
• B2B
• SAAS

About the Role

The Company is in search of an Assistant Vice President, Health Analytics Data Scientist to join their team. The successful candidate will be a hands-on, statistically grounded professional with a background in health data science, health actuarial science, or medical economics. The role involves leading the design, validation, and delivery of statistical and machine learning algorithms to support cost-of-care measurement, causal inference, and predictive modeling. This includes the development of analytics capabilities that help clients understand cost, risk, and the impact of health programs. The ideal candidate will have a minimum of 7 years' experience, a strong foundation in applied statistics and causal inference, and a proven track record in building and deploying predictive models on large medical and pharmacy claims datasets. Key responsibilities for this position include collaborating with cross-functional teams to ensure the methodological rigor of the work, staying hands-on in model development, and presenting results to both technical and non-technical audiences. The role also requires expertise in MLOps, model governance, and experience with a range of statistical and machine learning techniques. The candidate should be adept at mentoring junior data scientists, setting standards for model validation, and quality control, and be capable of leading multiple projects with clear priorities and timelines. A Bachelor's or Master's degree in a related quantitative field is required, with advanced degrees being a plus. The candidate should be an excellent communicator, with the ability to document and present findings clearly, and have a strong background in US health data, including coding standards.

Functions

• Data Management/Analytics