Lead Data Scientist - Optimization

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.

Join CVS as a Lead 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 the Lead 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:

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• 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:

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• 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.

 

Your Responsibilities:

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• Lead the continuous improvement of data science and machine learning practices by adhering to industry best practices and advancing the state-of-the-art in machine learning research.
• Integrate data science solutions into existing business processes to enhance operational efficiency and effectiveness.
• Establish and recommend best practices in machine learning tailored to the retail industry.
• Mentor peers and junior team members while managing multiple projects simultaneously.

 

What You Will Bring:

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• A PhD with 4+ years of experience, a Master’s degree with 7+ years, or a Bachelor’s degree with 9+ 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.

 

Join CVS as a Lead Data Scientist and contribute to the future of our promotions optimization strategy, driving significant business outcomes through innovative data science solutions.

Pay Range

The typical pay range for this role is:

$142,140.00 - $284,280.00

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.  This position also includes an award target in the company’s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 02/06/2025

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