Experienced Senior Data Scientist for CVS Media Exchange – Advanced Data Analysis and Predictive Modeling Expert

Introduction to CVS Health

At CVS Health, we share a singular, clear purpose: bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-driven healthcare for a rapidly changing world. Embedded in our brand – with heart at its center – our mission 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, empowering every individual who works at CVS Health to feel inspired by the role they play in transforming our culture and accelerating our ability to improve and deliver solutions to make healthcare more personal, convenient, and affordable.

About the Role

We are seeking an experienced Senior Data Scientist to join our Endeavor Digital Analytics (EDA) team, where you will have the valuable opportunity to leverage advanced analysis, experimentation, causal inference, and strategic problem-solving to develop digitally enabled products at CVS Health. As a key member of the CVS Media Exchange (CMX) team, you will be responsible for driving measurable results for our providers, dealers, stores, GMs, brand sponsors, and offices through our full-channel advertising solutions.

Key Responsibilities

• Collaborate with colleagues to understand their concerns and develop analytical solutions, analyzing customer journeys to identify opportunities to drive more adoption, engagement, retention, and conversion.
• Develop personalization capabilities using AI to target specific audiences for meaningful efforts, designing online experiments (A/B testing), measuring, and optimizing.
• Leverage methodologies like causal inference and MMM to enhance tests where A/B testing is not feasible or suitable.
• Create and implement algorithms and statistical predictive models, determining scientific approaches and modeling strategies to assess situations and potential future outcomes.
• Perform analyses of structured and unstructured data to solve complex business problems using advanced statistical techniques and numerical analyses, with broad knowledge of the organization and/or industry.
• Collaborate with colleagues to grasp their concerns and objectives, developing predictive modeling, statistical analysis, data reports, and performance metrics.
• Create and participate in presentations and meetings to existing and planned constituents on analysis results and solutions, communicating with internal and external partners and leaders to exchange complex information related to areas of specialization.

Essential Qualifications

• Bachelor's degree or equivalent work experience in Math, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.
• 3 years of experience applying modern AI methods to build predictive models for both classification and regression problems.
• 3 years of experience using Python and SQL.
• 2 years of experience extracting meaningful insights from analysis and interpreting results of complex models to present to business audiences, including technical, non-technical, and senior leaders.
• 2 years of experience preparing data for analysis, working with data engineering teams to create modeling datasets, evaluating satisfaction and quality of data, and performing feature engineering.

Preferred Qualifications

• Experience designing online experiments (A/B testing).
• Strong ability to convey technical ideas and recommendations to colleagues.
• Ability to communicate effectively and confidently with colleagues, project team members, and senior management.
• Ability to anticipate and prevent issues and detours before they happen.
• Shows expertise in multiple areas of numerical analysis techniques, AI, statistical investigations, experiment design, and predictive modeling, with in-depth specialization in certain areas.

Career Growth Opportunities and Learning Benefits

At CVS Health, we are committed to helping our colleagues grow professionally and personally. As a Senior Data Scientist, you will have access to various training and development programs, including mentorship opportunities, workshops, and conferences. You will also be part of a dynamic team that values collaboration, innovation, and creativity.

Work Environment and Company Culture

Our company culture is built on the principles of diversity, equity, and inclusion. We strive to create a work environment that is welcoming, inclusive, and supportive of all colleagues, regardless of their background, culture, or identity. We also offer a range of employee benefits, including flexible work arrangements, employee recognition programs, and a comprehensive wellness program.

Compensation, Perks, and Benefits

The salary range for this position is $106,605.00 - $206,000.00 per year, depending on experience and qualifications. We also offer a range of benefits, including medical, dental, and vision insurance, a 401(k) retirement savings plan, and a employee stock purchase plan. Additionally, we provide a fully paid term life insurance plan, short-term and long-term disability benefits, and various wellness programs.

Conclusion

If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this position. As a Senior Data Scientist at CVS Health, you will have the opportunity to work on complex and impactful projects, collaborate with a talented team of professionals, and contribute to the development of innovative solutions that improve healthcare outcomes. Don't miss this chance to join our team and make a difference in the lives of millions of people.

Apply now and take the first step towards a fulfilling and successful career at CVS Health.

Apply Now