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.
