Senior Data Scientist - Retail Analytics, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

111240.00 - 222480.00 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 be at the forefront of delivering high visibility projects for key strategic priorities.

Job Responsibility:

Drive revenue and customer satisfaction in CVS Health’s Front Store business by using data science to support a product assortment that better fits the needs of our customers
Solve complex problems, build predictive models and optimize assortment decisions, working cross-functionally with a range of technical and non-technical stakeholders

Requirements:

Bachelor’s degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a related field
3+ years of work experience in an applied data science and analytics or ML role
3+ years of experience in SQL and Python
1+ years of experience using GitHub or GitLab for code collaboration

Nice to have:

Master’s degree in a quantitative field
Retail domain knowledge and basic understanding of assortment concepts
Experience working with large datasets, analyzing data, and extracting meaningful insights
Experience with optimization tools
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 for all colleagues 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:
April 23, 2025

Expiration:
May 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Scientist - Retail Analytics