Senior Data Scientist, Pricing and Product Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

It’s a new day in healthcare!

Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health.

As a CVS Health colleague, you’ll be at the center of it all. We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.

The position will focus on Pricing and Product analytics for our Caremark Pharmacy Benefit Management business unit. You will use cutting edge AI methods to make health care affordable to millions of CVS Health members, clients, and plan sponsors. You will be working directly with Actuarial, Underwriting, Finance and Sales leaders to ideate and build analytical solutions and implement to show direct impact. Your solutions will have meaningful impact on your stakeholders’ day-today work. Collaborate with brilliant data scientists to build cutting edge capabilities – LEARN, SHARE and GROW as a team. Round your profile out and grow as a data science leader with continued learning and mentoring opportunities.

Position Summary:

• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Independently leads workstreams with minimal guidance from leaders
• Mentors fellow Data Scientists on and off projects
• Hybrid work Location options (2 days onsite every other week): NYC; Hartford, CT or Boston, MA area.

Required Qualifications

• 4 or more years of progressively complex analytics experience.
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
• Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
• Strong consultative problem-solving skills
• Anticipates and prevents problems and roadblocks before they occur.
• Demonstrates strong ability to communicate technical concepts and implications to business partners.