PBM Analytics

CVS Health-posted 3 months ago

$83,430 - $222,480/Yr

Full-time • Mid Level

New York, NY

5,001-10,000 employees

Ambulatory Health Care Services

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This Senior Data Scientist role on the finance analytics team will focus on building and deploying analytical models that help the PBM (Pharma Benefits Management) business meet its client and pharmacy guarantees. This team works on forecasting and optimization models to optimize drug level pricing tied to 95M Americans. The outcome of these models (recommended prices) have delivered over $200M value to Aetna and Caremark.

Master's Degree with a minimum of 3 years of experience; or PhD with fellowship experience in extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders
Preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering
Communicating effectively and confidently with business partners, project team members, and senior management
3+ years of experience with Gurobi Optimization with a proven ability to develop and implement mathematical models using Gurobi for various optimization problem types (e.g., LP, MIP)
Demonstrated understanding of various optimization modeling including linear and non-linear optimization
2 or more years of experience using AI coding platforms including Copilot, Cursor AI
Data preparation tools, data warehousing, and ETL
Demonstrated knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Working with data and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry
2+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
2+ years in a client-facing role with experience creating detailed reports of modeling results for different stakeholders
2+ years' experience with general linear models including regression techniques and optimization models
3 or more years of experience in Python and SQL is a must
3 or more years of experience with GCP cloud computing software for cloud storage, machine learning, and networking including Google Kubernetes Engine, Cloud storage, Big Query, Vertex AI, and cloud load balancing
Demonstrated proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

Experience in Tableau development, including Tableau Desktop and Server
Strong ability to learn quickly and work independently or as part of a team
Strong ability to communicate technical concepts and implications to business partners
Ability to anticipate and prevent problems and roadblocks before they occur
Experience with statistical measurements including experimental design, test and control selection, performance reporting and tracking, etc.
Experience in deploying ML models to production and developing CI/CD pipelines

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

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Sr. Data Scientist - Finance Analytics / Optimization / PBM Analytics

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