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Position Summary

The Lead Data Scientist for the Growth Analytics team is a key role responsible for acting as the technical product owner in managing and optimizing data driven products and solutions that enhance marketing performance and customer engagement. You will combine your technical expertise with digital and marketing data platforms knowledge to drive forward our data products as an organization. This role work closely with cross functional teams including analytics, data engineering, marketing, and business stakeholders to ensure that data products align with business goals and deliver measurable value. The Lead Data Scientist will define product vision, strategy, and roadmap while prioritizing features to ensure the successful delivery of high-quality cutting-edge data solutions and hitting user engagement and adoption targets.

Key Responsibilities

Product Strategy & Vision:

• Develop and communicate a clear vision and strategy for data products that support the Growth Analytics team’s objectives.

• Align data product strategies with overall business goals and marketing initiatives.

• Identify new opportunities for leveraging data to improve marketing effectiveness and customer insights.

Product Development & Management:

• Develop product business and technical requirements, collaborating with data engineers, analysts, and other stakeholders to develop and launch data driven products and features.

• Define and prioritize the product backlog, creating detailed user stories and acceptance criteria.

• Manage the end-to-end lifecycle of data products, from ideation to sunset, ensuring continuous improvement and high user adoption and utilization.

Stakeholder Collaboration:

• Act as the primary liaison between the marketing team and technical teams, ensuring clear communication of product requirements and priorities.

• Work with marketing teams to understand their needs and translate them into actionable data product features.

• Engage with key stakeholders to gather feedback and ensure data products are meeting business needs.

Performance & Analytics:

• Define key performance indicators (KPIs) for data products and track their performance to ensure they deliver the expected business value.

• Identify and implement data science and modeling use cases for data products and assets

• Utilize data analytics to inform product decisions, validate hypotheses, and identify areas for improvement.

• Strong data science skills to perform EDA and partner with data engineering to product enhancements, exploratory data analysis, among others.

Leadership & Advocacy:

• Champion the use of data within the marketing team, promoting datadriven decisionmaking.

• Provide guidance and mentorship to team members on best practices for data product management.

• Stay current with industry trends and emerging technologies in data and digital marketing.

Required Qualifications:

• Bachelor’s degree in a related field (e.g., Marketing, Data Science, Business, or Computer Science).

• 5-7 years of experience in data science and product management, with a focus on data products, ideally within a marketing or digital environment.

• 7+ years of work experience

• Strong understanding of digital marketing concepts, tools, and strategies.

• Proven capability of working in complex data environments with large structured and unstructured datasets.

• Proficient in data science (e.g., SQL, Python, R) and visualization tools (e.g., Tableau, React).

• Applied knowledge of advanced analytics tools and methodologies (Regression, Classification, Natural Language Processing, AI) to analyze large data sets from multiple data sources, build models, and develop consumer segmentation.

• Experience working with crossfunctional teams in an Agile environment.

• Excellent communication, organizational, and influential leadership skills.

• Ability to translate complex technical concepts into easy-to-understand language for non-technical stakeholders.

Preferred Qualifications:

• Master’s degree in a related field (e.g., Marketing, Data Science, Business, or Computer Science).

• Certification in Agile methodologies (e.g., Certified Scrum Product Owner).

• Familiarity with data privacy regulations (e.g., HIPPA, CCPA) is a plus.

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 (https://jobs.cvshealth.com/us/en/benefits)

We anticipate the application window for this opening will close on: 10/27/2024

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

We are an equal opportunity and affirmative action employer. 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.