Senior Data Scientist - ML

$106,605 - $206,000/Yr

CVS Health - New York, NY

Full-time - Mid Level

New York, NY

Health and Personal Care Retailers

About the position

The Senior Data Scientist at CVS Health will leverage advanced analytics skills to enhance patient safety and optimize pharmacy operations. This role focuses on developing descriptive and predictive techniques to improve the experiences of patients, prescribers, and pharmacists through comprehensive analytics and insights. The candidate will collaborate with business leaders to identify use cases, gather requirements, and lead initiatives that utilize data modeling and analytics to solve complex problems in healthcare.

Responsibilities

• Utilize analytics expertise to collaborate with key leaders in identifying new use cases that align with ambitious goals in CVS pharmacy.
• Gather business requirements from multiple stakeholders and lead the analysis of extensive data to develop strategies and tactics for solving complex problems and optimizing tradeoffs.
• Lead initiatives focused on asset protection analytics, employing both descriptive and predictive techniques.
• Create and deliver presentations that communicate insights derived from analytics, along with recommendations and plans for moving forward, to a diverse range of audiences including internal stakeholders and senior leadership.
• Promote knowledge sharing and provide input on the technology stack.

Requirements

• 3+ years of experience in descriptive and predictive analytics including gathering requirements to meet data and technology pre-requisites.
• Strategic mindset and experience leading highly technical initiatives focused on deploying data and analytics solutions in healthcare.
• Ability to engage with stakeholders, communicate insights and promote adoption of analytics insights.
• Deep expertise with data modeling/analytics in SQL and Python.
• Highly motivated to work in a fast-paced environment and enable sustainable impact in front store operations.

Nice-to-haves

• First hand experience in building models to generate predictive and prescriptive insights.
• Familiarity with the common Python libraries used in machine learning projects.
• Experience with cloud computing platforms (e.g., Snowflake), including querying/mining large datasets and deploying projects on cloud systems.
• Familiarity with working in an Agile framework.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs.
• Education assistance and free development courses.
• CVS store discount and discount programs with participating partners.
• Paid Time Off (PTO) and paid holidays.