Senior Data Scientist - Payer Analytics at CVS Health

At CVS Health, we bring our hearts to every moment of your health. Our clear purpose is to deliver human-centric health care for a rapidly changing world. With heart at the center of our brand, our commitment is to enhance how we deliver services, ensuring they are as important as what we deliver.

Role Summary: Senior Data Scientist - Payer Analytics

Join our Analytics and Behavior Change team, a critical partner to our retail pharmacy payer analytics team. Your role is essential for achieving business goals related to reimbursement, pricing, and margin-driving initiatives. Utilize advanced analytics and statistical techniques to identify opportunities, collaborate with stakeholders, and measure impact.

As a Senior Data Scientist, your primary responsibilities will include:

• Seeing projects through from inception to production.
• Converting data science concepts into scalable production solutions and applications.
• Working across various domains like time-series forecasting, classification, regression, and clustering.
• Coordinating regularly with technical (Analytics, Data Engineering, IT) and non-technical business stakeholders and senior leadership.
• Mentoring junior team members with technical guidance.
• Maintaining accountability, urgency, strong critical thinking, and analytical skills.

Additional Responsibilities

• Collaborate closely with business partners to identify new use cases, perform root-cause analyses, support decision-making, and gain data insights.
• Develop and present insights-driven materials on analytical results with recommendations for various audiences, including internal stakeholders and senior leadership.

Required Qualifications

• Experience with Palantir Foundry or Tableau.
• 3+ years of experience programming in SQL and Python.
• Experience with data visualization platforms like Tableau.
• 2-3 years of experience building machine learning and/or optimization models.
• Experience with Spark/PySpark and cloud distributed-computing platforms like AWS, Azure Databricks.
• Knowledge of Git for version control.
• Experience with a robust experimentation framework (e.g., A/B testing).
• Strong foundational knowledge of mathematical and statistical principles in data science.

Preferred Qualifications

• Strong understanding of the health care industry, products, and systems.
• Ability to communicate technical concepts effectively to non-technical business partners.
• High energy with a sense of urgency to deliver results, attention to detail, and ability to manage multiple projects simultaneously.
• Capable of anticipating and preventing project roadblocks.
• Familiarity with working in an Agile framework.

Education

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline. Master’s degree or PhD preferred.

Pay Range

The typical pay range for this role is $92,700.00 - $185,400.00. Actual base salary will depend on various factors, including experience, education, geography, and other relevant factors. This position is also eligible for CVS Health bonus, commission, or short-term incentive programs.

Benefits

In addition to competitive compensation, CVS Health offers a full range of medical, dental, and vision benefits. Eligible employees may participate in the 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available. Benefits include:

• Fully-paid term life insurance plan for eligible employees.
• Short-term and long-term disability benefits.
• Numerous well-being programs, education assistance, free development courses, and a CVS store discount.
• Discount programs with participating partners.
• Paid Time Off (PTO) and paid holidays throughout the calendar year, consistent with state law and company policies.

For more detailed information on available benefits, please visit .

We anticipate the application window for this opening will close on: 07/28/2024.

Join CVS Health as a Senior Data Scientist -