Senior Decision Scientist - Pharmacy and Consumer Wellness Analytics
New
C
CVS HealthHealthcare analytics
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary$101,970.00 - $203,940.00
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Job Details
- Experience
- 5+ years of experience in industry; Bachelor’s degree in a quantitative field with 4–7+ years of relevant experience, OR Master’s degree or equivalent in an analytic discipline with 2+ years of relevant experience.
- Required Skills
- PythonSQLArtificial IntelligenceMicrosoft Power BISnowflakeTableauData visualizationPowerPoint
Requirements
- Have 5+ years of industry experience.
- Have 3+ years of programming experience in SQL and Python.
- Have 3+ years of experience with data visualization platforms such as Power BI or Tableau, including POCs and end-to-end product implementations.
- Have 1+ year of experience implementing AI-based solutions for analytics and business intelligence use cases.
- Bring expertise in identifying problem statements and determining analytical approaches.
- Understand semantic models and data models, and be able to analyze large datasets in cloud platforms.
- Have strong knowledge of the mathematical and statistical principles underlying data science.
- Have strong project management and organizational skills, and presentation skills including expertise in PowerPoint.
- Have familiarity with cloud computing platforms such as Snowflake, Azure, and GCP.
- Hold a bachelor’s degree in a quantitative field with 4–7+ years of relevant experience, or a master’s degree or equivalent in an analytic discipline with 2+ years of relevant experience.
Responsibilities
- Develop and present analytical results, recommendations, and go-forward plans for internal stakeholders and senior leadership.
- Act as the stakeholder point of contact across projects to understand business analytics requirements and communicate project status.
- Leverage AI tools and techniques to maximize productivity and profitability.
- Partner with data scientists and data engineers to define solution approaches and make recommendations.
- Analyze structured and unstructured data to solve complex business problems.
- Use data visualization techniques to communicate analytical results and support business decisions.
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