Lead Data Scientist, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

142140.00 - 284280.00 USD / Year

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Job Description:

Lead Data Scientist role in the Forecasting Center of Excellence at CVS Health, developing scalable forecasting solutions that power smarter pricing, promotions, and assortment decisions across the retail business

Job Responsibility:

Build, optimize, and deploy scalable forecasting models that support pricing, promotions, and assortment strategies
Apply advanced statistical, machine learning, and deep learning methods for forecasting
Implement robust MLOps practices for model deployment, monitoring, and retraining using cloud platforms
Integrate multiple internal and external data sources into forecasting pipelines
Collaborate with data engineering to ensure scalable, high-quality data pipelines
Partner with business stakeholders to design and validate forecast-driven decision workflows
Coach and mentor junior data scientists
Monitor forecast accuracy, perform backtesting, and refine models
Develop frameworks for scenario planning and simulation

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
Experience working with cross-functional teams to deliver at least 2+ enterprise-level data-driven solutions from design to production
Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related field

Nice to have:

Experience forecasting across multiple hierarchy levels (SKU, category, store, chain)
Exposure to promotion, pricing, and assortment data as forecast drivers
Familiarity with simulation frameworks for what-if analysis and demand scenario planning
Experience applying generative AI to forecasting, feature engineering, or automation
Strong ability to communicate technical results to senior leadership
Experience mentoring junior team members
Experience with end-to-end forecast lifecycle management
Master's/PhD preferred

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
Wellness screenings
Tobacco cessation programs
Weight management programs
Confidential counseling
Financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
September 15, 2025

Expiration:
October 26, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Data Scientist