Lead Data Scientist - Supply Chain Analytics

Remote in WA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
Remote
USD $130,295.00 - 260,590.00 per year
Fitment

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Job Details

Skills

  • Accountability
  • Health Care
  • Advanced Analytics
  • Optimization
  • Decision-making
  • Statistical Models
  • Machine Learning (ML)
  • Data Visualization
  • Communication
  • Retail
  • Supply Chain Management
  • Inventory Optimization
  • Forecasting
  • Merchandising
  • Analytics
  • Management
  • Mentorship
  • Cloud Computing
  • Data Science
  • Statistics
  • Mathematics
  • Computer Science
  • Economics
  • Finance

Summary

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Manager, Data Science responsible for leading advanced analytics, forecasting, and optimization initiatives that support business decision-making. Partners with cross-functional stakeholders to develop scalable data science solutions, translate complex analyses into actionable insights, and drive measurable business value through data-driven strategies.

Required Qualifications
  • 5+ years Experience in data science, analytics, machine learning, or a related field.
  • Experience leading analytics projects from concept through implementation.
  • Proficiency in statistical modeling, forecasting, machine learning, and data visualization.
  • Strong communication skills with the ability to explain technical findings to business audiences.
  • Experience collaborating across business, technology, and operations teams.

Preferred Qualifications
  • Experience in retail, supply chain, inventory optimization, forecasting, or merchandising analytics.
  • Experience managing or mentoring data scientists and analysts.
  • Knowledge of cloud data platforms and large-scale data environments.
  • Experience deploying predictive models into production environments.

Education
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline required.
  • Master's degree or Ph.D. in a quantitative field preferred.

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/18/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80180635
  • Position Id: 4a706ddf28c2ec0ffc311076fe18a800
  • Posted 2 hours ago
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