Lead Data Scientist – Forecasting at CVS Health

Wellesley, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, RetailIndustries

Requirements

7+ years of experience in data science, forecasting, or applied predictive modeling
4+ years of experience building and deploying time-series forecasting models using methods such as ARIMA, Prophet, gradient boosting, LSTMs, or hybrid ensembles
4+ years of experience with Python and SQL for large-scale data processing
3+ years of experience with MLOps tools and practices (e.g., GitHub/GitLab, Docker, Kubernetes, Kubeflow, CI/CD pipelines)
3+ years of experience using cloud platforms (Azure, AWS, or GCP) and distributed computing frameworks (e.g., Databricks, Spark)
Proven track record of deploying at least 2 production forecasting models that delivered ≥10% improvement in accuracy (e.g., reduction in MAPE, WMAPE, or sMAPE)
Experience working with cross-functional teams (engineering, merchandising, pricing, assortment) to deliver at least 2+ enterprise-level data-driven solutions from design to production

Responsibilities

Build, optimize, and deploy scalable forecasting models that support pricing, promotions, and assortment strategies across multiple product categories
Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting, LSTMs, hybrid ensembles) for forecasting at SKU, category, and chain levels
Implement robust MLOps practices for model deployment, monitoring, and retraining using cloud platforms (Azure, GCP, AWS)
Integrate multiple internal and external data sources (e.g., coupon redemption, merchandising, competitive, and macroeconomic data) into forecasting pipelines
Collaborate with data engineering to ensure scalable, high-quality data pipelines
Partner with business stakeholders in pricing, promotions, and assortment to design and validate forecast-driven decision workflows
Coach and mentor junior data scientists, sharing best practices in forecasting, MLOps, and applied analytics
Monitor forecast accuracy, perform backtesting, and refine models to reduce error rates and improve stability
Develop frameworks for scenario planning and simulation to measure business impact of promotions, pricing strategies, and assortment changes

Skills

Key technologies and capabilities for this role

ARIMAProphetGradient BoostingLSTMsHybrid EnsemblesMLOpsAzureGCPAWSTime Series ForecastingMachine LearningDeep Learning

Questions & Answers

Common questions about this position

What experience is required for the Lead Data Scientist role?

Candidates need 7+ years in data science, forecasting, or applied predictive modeling, 4+ years building and deploying time-series forecasting models using methods like ARIMA, Prophet, gradient boosting, LSTMs, or hybrid ensembles, 4+ years with Python and SQL for large-scale data processing, and 3+ years with MLOps tools and practices.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What does the team environment look like at CVS Health?

You will collaborate closely with data engineering, merchandising, pricing, promotions, and assortment teams, coach and mentor junior data scientists, and partner with business stakeholders to integrate datasets and translate insights into business impact.

What makes a strong candidate for this Lead Data Scientist position?

Strong candidates will have hands-on expertise in time-series modeling with methods like ARIMA, Prophet, LSTMs, experience implementing MLOps on cloud platforms like Azure, GCP, AWS, and the ability to guide junior team members while delivering scalable forecasting solutions.

CVS Health

Comprehensive pharmacy and healthcare services

About CVS Health

CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.

Woonsocket, Rhode IslandHeadquarters

1963Year Founded

DEBTCompany Stage

Healthcare, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Company Equity

Wellness Program

Professional Development Budget

Paid Vacation

Paid Holidays

Risks

Legal challenges related to opioid prescriptions could harm CVS's reputation and finances.

The DOJ's intervention in a whistleblower lawsuit may increase legal costs for CVS.

The Horizon Organic Milk recall exposes potential vulnerabilities in CVS's supply chain.

Differentiation

CVS Health operates over 9,600 retail pharmacies and 1,100 walk-in clinics nationwide.

The company integrates pharmacy benefits management with specialty pharmacy services for comprehensive care.

CVS Health offers tailored medication plans through personalized medicine and pharmacogenomics.

Upsides

Expansion of telehealth services allows CVS to reach more patients remotely.

Increased consumer interest in wellness boosts demand for CVS's health-related products.

The trend towards value-based care aligns with CVS's integrated healthcare approach.

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