Skip to content

Senior Data Scientist – Special Investigations Unit
Company | CVS Health |
---|
Location | Hartford, CT, USA |
---|
Salary | $101970 – $222480 |
---|
Type | Full-Time |
---|
Degrees | |
---|
Experience Level | Senior |
---|
Requirements
- 5+ years Analytic experience
- 5+ years SQL Programming experience
- 4+ years’ experience with Python
- 3+ year experience at a Data Scientist
- 2+ years’ experience with Cloud ( GCP , AWS or Azure )
- 2+ years’ experience communicating technical concepts and implications to business partners
Responsibilities
- Leads and participates in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solves complex analytical problems.
- Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
- Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
- Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
- Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
- Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
- Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Preferred Qualifications
- Experience with BigQuery ( BQ )
- Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
- Good written and verbal communication skills
- Ability to work with large data sets from multiple data sources