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Decision Scientist
| Company | CVS Health |
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| Location | New York, NY, USA |
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| Salary | $86520 – $173040 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Junior |
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Requirements
- 1+ years of experience in SQL working with big data platforms (e.g., AWS, GCP, Hadoop, etc.) and multiple data sources
- 1+ years of experience in Python/R /SQL (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g., Tableau, etc.)
- 1+ years of experience in statistical analysis, experiment design and evaluation
- 1+ years of experience creating communication materials (e.g., PowerPoint, etc.) and presenting to non-technical/analytics audiences
Responsibilities
- Develop, configure, and measure behavior change campaigns to improve participation for preventative and chronic screenings
- Partner with stakeholders to define the goals and performance metrics, recommend and develop data-driven analytical approaches, and execute the solutions required to make informed business decisions
- Build statistical models, predictive models, simulations, and other customized solutions using Python to solve complex business problems
- Process data from multiple sources via big data platforms (such as GCP) using SQL
- Design experiments and collaborate with engineering teams to configure the experiments to test and quantify the impact of business solutions
- Translate technical concepts for non-technical audiences
- Collaborate with internal and external business partners to understand and solve business problems and communicate business solutions and/or analytical results to business stakeholders
- Develops and delivers data-driven presentations on analytical solutions and results
Preferred Qualifications
- 1+ years of experience in SQL working with big data platforms (e.g., AWS, GCP, Hadoop, etc.) and multiple data sources
- 1+ years of experience in Python/R /SQL (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g., Tableau, etc.)
- 1+ years of experience in statistical analysis, experiment design and evaluation
- 1+ years of experience creating communication materials (e.g., PowerPoint, etc.) and presenting to non-technical/analytics audiences
