Lead Data Scientist Retail Payer Analytics at Cvs Health

Job DescriptionThe Analytics and Behavior Change team serves as a critical partner to the retail pharmacy payer analytics team, helping them to achieve core business goals related to reimbursement, pricing and margin driving initiatives. The team builds advanced analytic solutions (using Machine Learning and other statistical techniques) to identify opportunities, collaborate across other stakeholders in the organization to implement the strategy, and measure impact. Additionally, the team builds tools and capabilities to enable business units to design, run, and measure their own interventions.As a Lead Data Scientist, your role will entail:• Seeing projects through from inception to production.• Working with a wide range of problem domains, including time-series forecasting, classification, regression, clustering to name a few.• Coordinating regularly with technical teams (Analytics, Data Engineering, IT) as well as non-technical business stakeholders and senior leadership.• Collaborating closely with business partners to identify new use cases, perform root-cause analyses, support decision-making, and gain insights from data.• Accountability, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing high-performing analytics solutions• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership• Mentoring junior team members to provide technical guidance
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
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.
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
 jobs.CVSHealth.com/benefits
Required Qualifications• 6+ years of experience programming in SQL and Python• 3-5 years experience building machine learning and/or optimization models• Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science• Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models• Ability to communicate technical concepts and implications effectively to non-technical business partners• Experience working with data visualization platforms (e.g., Tableau)• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.• Capability to anticipate and prevent project roadblocks before they occur
Preferred Qualifications• Experience with Palantir Foundry and Tableau• Strong understanding of health care industry, products, and systems • Experience with Spark/PySpark• Experience with cloud distributed-computing platforms (e.g., AWS, Azure Databricks, etc.), including querying/mining large datasets and deploying projects on cloud systems.• Knowledge of Git for version control.• Familiarity with working in an Agile framework.
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring 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.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply