Senior Data Scientist - Retail

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY

CVS is seeking a highly skilled and experienced Senior Data Scientist to join our growing team and revolutionize our e-commerce search experience. You will be responsible for developing and implementing innovative Neural Networks, kNN, natural language processing (NLP), learn-to-rank (LTR) solutions to power our search engine, ensuring our customers find the products they need quickly and efficiently.

What you will do

• Design, develop, and deploy machine learning models to improve search relevance, ranking, and personalization
• Analyze large-scale user interaction data to identify opportunities for improving search performance
• Collaborate with engineering teams to integrate ML models into production search systems using Elasticsearch
• Conduct A/B testing and performance evaluation of search algorithms and features
• Develop NLP and deep learning models to enhance query understanding, product categorization, and semantic search
• Drive innovation in AI-powered search features such as autocomplete, spell correction, and recommendation systems
• Mentor junior data scientists and contribute to best practices in data science and ML engineering

REQUIRED QUALIFICATIONS

• 5+ years of experience of Data Engineering experience with a preference of at least 2 of those years working in a Data Scientist capacity
• 2+ years developing and implementing Neural Networks, kNN, natural language processing (NLP), learn-to-rank (LTR) solutions in a production environment
• Deep understanding of various LTR algorithms, including LambdaMART, RankNet, and LightGBM.
• Strong programming skills in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch
• Experience working with large datasets and developing scalable data pipelines
• Experience with A/B testing and data analysis for measuring model performance

PREFERRED QUALIFICATIONS

• Experience with eCommerce platforms and user behavior modeling
• Familiarity with LLMs and generative AI applications in search
• Passion for e-commerce and a deep understanding of user behavior
• Knowledge of MLOps practices and model deployment pipelines
• Contributions to open-source search or ML projects
• Excellent communication and collaboration skills

EDUCATION

Bachelor's degree or, equivalent experience (HS diploma + 4 years relevant experience)

BUSINESS OVERVIEW

Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $222,480.00

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.

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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We anticipate the application window for this opening will close on: 10/31/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.