Principal Decision Scientist, Strategy & Innovation

Job not on LinkedIn

🔥 15 hours ago

🏈 Alabama, Arizona, +42 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🔴 Lead

👻 Ghost score 0%

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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 deep statistical studies to prove member outcomes • Provide quantitative sizing to guide decisions on new growth opportunities • Extract knowledge and insights from data using data preparation, modeling, analysis, and visualization techniques • Design, build, and maintain causal inference studies measuring member-level clinical outcomes • Build and validate proof-of-concepts using health plan data and Signify's in-home insights • Translate ambiguous business questions into structured analytical approaches • Conduct new product and partnership opportunity sizing analyses • Champion analytics best practices, including engineering standards, version control, code review, documented pipelines, and common data sources • Collaborate with analytic leaders and data professionals across Signify • Mentor analytics talent across the organization • Pressure-test methodologies and hypotheses across the active portfolio • Present analyses directly to Signify's Executive Leadership Team and executive leadership

🎯 Requirements

• 10+ years of hands-on experience in Decision Science, Data Science, Advanced Analytics, or a related quantitative field • Expert SQL and strong Python skills • Experience analyzing large, complex datasets • Experience with statistical analysis, modeling, automation, and visualization • Strong applied statistics and advanced analytics expertise, including hypothesis testing, regression, experimental design/A-B testing, predictive modeling, and related quantitative methods • Demonstrated experience with causal inference and impact measurement • Healthcare/payer data expertise, including claims, enrollment, utilization, laboratory, SDOH, or other member-level healthcare datasets • Strong business and executive communication skills • Experience with Snowflake and/or modern cloud data platforms such as AWS, Azure, or GCP • Working knowledge of data engineering and scalable analytical datasets, including ETL/ELT and relational or NoSQL databases • Experience establishing or improving analytics/Decision Science best practices and developing reusable analytical assets • Demonstrated executive presence and strong written communication • Bachelor's degree in a quantitative field required • Familiarity with CMS risk adjustment and Stars quality methodologies • Experience building, validating, or deploying machine learning models or proof-of-concepts • Experience using machine learning and predictive modeling in combination with causal inference • Experience working with unstructured clinical and/or provider data • Experience applying decision science to complex healthcare, payer, provider, or healthcare operations problems • Experience operating in highly ambiguous environments and independently defining analytical strategy

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being