Senior Data Scientist, Products

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🕒 May 27

🌽 Illinois, New York, +1 more states – Remote

🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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CVS Health

WebsiteLinkedInAll Job Openings

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

• lead a workstream within Caremark's sales and underwriting analytics portfolio — owning end-to-end delivery as a senior individual contributor, setting technical direction, and mentoring peers • own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders • set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action

🎯 Requirements

• 5+ years of data science experience, with at least 2 years in financial services, insurance, healthcare, or PBM • Track record of analytical work that changed business decisions — not just answered questions • Production-grade Python and advanced SQL; proficiency with PySpark, Databricks, Snowflake, distributed computing or equivalent • Strong fundamentals across regression, classification, clustering, time-series forecasting, and experiment design — with the judgment to pick the right tool for each problem • Familiarity with the ML model lifecycle: training, validation, deployment, monitoring, and drift detection • Ability to explain a model's assumptions and limits to a non-technical executive in three sentences • Experience leading workstreams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families