Data Scientist

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.

Join CVS as a Data Scientist and play a crucial role in shaping our promotions optimization

strategy. In this position, you will drive impactful business outcomes through innovative data

science solutions. As a Data Scientist for Optimization, you will lead the execution of

promotions optimization initiatives, develop and communicate strategic business plans, and

remove barriers to performance. Your collaboration with key stakeholders will be essential in

ensuring that business needs are met and that we continuously improve and adapt our

strategies.

Key Responsibilities:

• Data Science Application: Identify and leverage data science opportunities across CVS

Health’s retail business, with a focus on promotions, personalization, and front store retail

initiatives.

• Cross-Functional Collaboration: Partner with cross-functional teams to develop

innovative technical and business approaches, fostering trust and commitment through

Agile methodologies.

• Solution Development: Design and implement robust, scalable solutions using machine

learning and statistical methods, generalizing methodologies for broad applications to

achieve business objectives.

• Algorithm Development: Create, validate, and deploy algorithms and predictive models

to analyze complex problems, detect patterns, and recommend actionable solutions.

• Data Exploration: Analyze and interpret large volumes of structured and unstructured

data to address complex business challenges effectively.

• Advanced Analytics: Utilize advanced statistical techniques and mathematical analyses

to derive insights that inform strategic decision-making.

• Data Infrastructure: Develop and maintain data structures and pipelines to organize,

collect, and standardize data, facilitating insights and addressing reporting needs.

• Continuous Learning: Stay abreast of the latest advancements in machine learning

solutions and methodologies to enhance our capabilities.

What You Will Do:

• Apply and develop machine learning solutions to create efficient, scalable models that

drive actionable insights from extensive datasets.

• Collaborate with business, engineering, and science teams to identify and implement

impactful solutions to complex business problems.

• Define and monitor model performance metrics, ensuring alignment with business

impact over time.

• Present complex analyses and recommendations to business partners in a clear,

actionable format, influencing strategic decisions.

• Develop proof of concepts (PoCs) and transition solutions into production-ready

pipelines and APIs as required by the business.• Research and integrate new technologies to enhance existing solutions and address

emerging challenges.

What You Will Bring (Requirements):

• A PhD, a Master’s degree with 1+ years, or a Bachelor’s

degree with 2+ years of relevant experience in a STEM field.

• Proven experience in analyzing complex problems and translating them into efficient

data science algorithms with a focus on computational efficiency.

• Expertise in optimization machine learning techniques, including supervised and

unsupervised learning, forecasting, classification, natural language processing (NLP),

and deep learning.

• Strong background in statistical learning, predictive and prescriptive analytics, and

experience with big data technologies.

• Proficiency in Python and at least one object-oriented programming language, along

with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).

• Familiarity with SQL, relational databases, and big data platforms (e.g., Hadoop, Spark).

• Domain knowledge in retail merchandising and experience managing multiple

stakeholders while effectively communicating data-driven insights.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$86,520.00 - $173,040.00

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.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 05/25/2025

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