Principal Data Scientist – Aetna Medicare
| Company | CVS Health |
|---|---|
| Location | Kansas, USA, Pennsylvania, USA, Delaware, USA, Washington, DC, USA, Vermont, USA, Texas, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, South Carolina, USA, Georgia, USA, Concord, NH, USA, Mississippi, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Nebraska, USA, Rhode Island, USA, Kentucky, USA, West Virginia, USA, New York, NY, USA, Maryland, USA, Wisconsin, USA, Maine, USA, Massachusetts, USA, North Carolina, USA, Oklahoma, USA, Missouri, USA, Ohio, USA, Indiana, USA, Louisiana, USA, Michigan, USA, Illinois, USA, Alabama, USA |
| Salary | $144200 – $288400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 10+ years of progressively complex related analytics experience
- 8+ years’ experience leading analytics project from concept to delivery, coordinating across a diverse group of stakeholders, anticipating and preventing roadblock and driving business impact
- 8+ years’ experience with advanced analytics tools and languages, analyzing large data sets from multiple data sources
- 8+ years’ experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling
- 8+ years’ experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design
- 5+ years’ industry experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences
Responsibilities
- Anticipates and solves strategic and high-risk business problems with broad impact to the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions
- Leads development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
- Establishes analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses
- Evaluates advanced industry-leading approaches and determine which to incorporate into CVSH technical approach
- Works across 2-3 highly complex projects at a time (50/30/20), with a combination of hands-on, problem solving, and coaching
- Holds team-wide office hours regarding technical challenges and problem solving
- 1:1 technical coaching with 10-20 individual contributor teammates
- Identify opportunities to implement improved best practices
- Provides guidance to develop enterprise-wide analytics strategy and roadmap
Preferred Qualifications
- Excellent analytical and problem-solving skills
- Strong organizational, management and leadership skills
- Knowledge of the health care industry, products, systems, business strategies and products
- Experience in large, matrixed corporate environment
- Experience working with end-users