Data Scientist

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🕒 3 days ago

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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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