Data Scientist
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Job Description
Data Scientist focusing on clinical data acquisition and integration for Aetna's quality measures. Developing models and partnering with stakeholders to produce insights and dashboards.
Responsibilities:
- This position will focus on clinical supplemental data acquisition and integration to support Aetna's quality measures including but not limited to Medicare Stars and Hedis.
- Develop and validate statistical models and predictive algorithms
- Perform exploratory data analysis on structured and unstructured datasets
- Build repeatable analytical solutions using established tools and best practices
- Partner with stakeholders to translate business questions into analytical approaches
- Produce insights, metrics, and dashboards to support decision‑making
- Operate within defined governance, ethical, and data‑privacy standard
Requirements:
- Ability to translate business questions into analytical approaches and clearly articulate findings to non-technical stakeholders
- Strong written and verbal communication skills, with emphasis on communicating insights and recommendations
- Understanding of and adherence to data governance, privacy, and ethical standards in analytics work
- Strong problem-solving and critical-thinking skills applied to ambiguous or moderately complex analytical problems
- Adaptability and willingness to learn new tools, methods, and technologies as the analytics landscape evolves
- Ability to design repeatable, scalable analytical solutions using established best practices
- Strong capability in exploratory data analysis to identify trends, patterns, and anomalies
- Ability to work with large, complex datasets using SQL and analytical data environments
- Experience creating analytical outputs and visualizations using standard data visualization tools (e.g., Tableau, Power BI, or similar)
Benefits:
- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility
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