Data Scientist – Specialty Operations

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🔥 27 minutes 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

• support Specialty Operations through advanced analytics, predictive modeling, and AI-driven solutions • partner closely with business stakeholders to identify opportunities, solve operational challenges, and drive measurable business impact across specialty pharmacy and healthcare operations • develop predictive models, perform exploratory and statistical analyses, and translate complex findings into actionable recommendations for operational and executive audiences • contribute to emerging AI initiatives, including the design and development of AI agents and intelligent automation capabilities to enhance operational efficiency and decision-making

🎯 Requirements

• 1+ years of experience in data science, advanced analytics, or a related quantitative field • Strong experience with predictive modeling, statistical analysis, and machine learning techniques • Proficiency in Python and/or R for data analysis and model development • Experience working with SQL and large-scale structured datasets • Demonstrated ability to communicate analytical findings and recommendations to non-technical business stakeholders • Experience developing dashboards, reports, or operational insights that drive business decisions • Knowledge of statistical techniques such as regression, classification, clustering, hypothesis testing, and forecasting • Ability to work cross-functionally in a fast-paced, business-facing environment • Strong problem-solving, critical thinking, and presentation skills.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs

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