At CVS Health, the business problem is to enhance mental wellbeing of members by leveraging data-driven insights and advanced analytics, and to empower the organization with robust data management, business intelligence, and reporting solutions.
Requirements
- Hands on experience with Python and/or R, expert level SQL and experience with predictive modeling, machine learning.
- Working knowledge of problem solving and decision making skills.
- Prior experience working with data in the healthcare industry.
Responsibilities
- Implements systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
- Assists in the deployment of data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
- Designs complex data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data.
- Applies in-depth data science and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
- Develops analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance.
- Communicates with internal and external stakeholders, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions.
- Coordinates the delivery of presentations and consultative services to existing and prospective constituents that outline data analytics results and solutions.
Other
- 2 - 4 years of experience as a Data Scientist
- Bachelor's degree/specialized training/relevant professional qualification.
- Master's degree preferred.
- This role can be remote in the US and must align to either central or Eastern time zone work schedules.
- 40 hours per week, full-time
