Lead Data Scientist - Assortment Optimization, CVS Health

Lead Data Scientist - Assortment Optimization

CVS Health

Location:

United States, Wellesley

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

142140.00 - 284280.00 USD / Year

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Job Description:

The Retail Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights. As a member of the Analytics & Behavior Change (A&BC) Merchandising Analytics team, you will deliver high visibility projects for key strategic priorities, with the goal of driving revenue and customer satisfaction by supporting innovative product assortment strategies.

Job Responsibility:

Solve complex problems and build predictive models to help tailor product assortment to CVS’ customer base
Work cross functionally with a range of technical and non-technical stakeholders, translating their business needs into problems to be solved using statistical modeling, machine learning, and optimization
Deliver high visibility projects for key strategic priorities
Drive revenue and customer satisfaction by supporting product assortment alignment to customer needs

Requirements:

Bachelor’s degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a related field
Master’s degree or PhD preferred
5+ years of consulting or strategy experience in the retail, healthcare, or technology industry
5+ years of business analytics experience, leading high visibility analyses and initiatives with track record of business impact
Proficiency and hands-on experience with variety of analytic processes and techniques (including measurement methodologies, clustering, data visualizations, statistical significance testing and analysis, rules-based and machine learning modeling, and optimization)
Proficiency in SQL and Python/R
Experience with optimization tools

Nice to have:

Retail domain knowledge including category management, assortment optimization, product clustering, localization, and financial metrics
A strong drive to explore data and make a business impact by applying data science and the curiosity to dive deep
Ability to communicate technical concepts to non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.)

What we offer:

Affordable medical plan options
401(k) plan including matching company contributions
Employee stock purchase plan
No-cost programs including wellness screenings, tobacco cessation and weight management programs, confidential counseling and 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:

March 19, 2025

Expiration:

April 27, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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