Lead Data Scientist, CVS Health

CVS Health

Location:
United States, Boston

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

130295.00 - 260590.00 USD / Year

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Job Description:

CVS Health is seeking a Lead Data Scientist to join the Retail Consumer Analytics team, leading high-impact efforts in Promotions Analytics. This role focuses on improving how CVS evaluates and invests in retail promotions by measuring what truly drives performance, optimizing discount strategy, and guiding smarter decisions across customer segments and product categories. As a senior individual contributor, you will shape our promotional investment strategy, design and deploy advanced analytics solutions, and collaborate across business teams to drive measurable improvements in business outcomes.

Job Responsibility:

Translate business questions into data problems and define solution roadmaps
build analytics solutions independently and in collaboration with cross-functional teams
develop measurement strategies using causal inference techniques
lead the creation of multi-touch attribution frameworks and discount effectiveness models
build and scale marketing mix and budget optimization models
analyze promotion impact on Front Store KPIs
develop analytics tools and operational KPIs
collaborate with partners across the business
deploy models into scalable, production-ready pipelines
communicate analytical insights clearly and effectively
stay informed on advances in causal modeling, attribution science, and generative AI
contribute to team-wide modeling standards
offer informal mentorship and technical guidance

Requirements:

7+ years of relevant experience in data science, econometrics, or applied analytics
experience with causal modeling techniques, including quasi-experimental methods like uplift, DiD, and double ML
developing attribution models, investment effectiveness frameworks, or MMM models
experience in machine learning and statistical modeling including regression, trees, classification, clustering, and time series
expertise in Python or R, SQL, and working with relational databases
experience with ML Ops tools and cloud-based platforms such as Azure, AWS, or GCP
experience analyzing business outcomes using KPIs like sales, trips, units, or margin
experience leading complex analytics projects and mentoring junior team members
Bachelor’s degree in a quantitative field such as Economics, Statistics, Mathematics, Computer Science, or Engineering
Master’s preferred

Nice to have:

PhD in Economics or related field
very strong communication skills
proven ability to align analytics with strategic business goals
experience in retail promotions, marketing analytics, or personalization analytics
familiarity with budget optimization frameworks
understanding of forecasting methods and time-based trends
deep knowledge of merchandising and offer constructs
experience managing large-scale projects
collaborating across multiple business stakeholders

What we offer:

Affordable medical plan options, a 401(k) plan including matching company contributions, and an employee stock purchase plan
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:
May 09, 2025

Expiration:
June 27, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Lead Data Scientist