Senior Data Scientist - Specialty Operation Optimization

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Specialty Pharmacy Growth and Operation Analytics team is looking for a skilled Senior Data Scientist in helping lead the effort to drive operation efficiency, consumer experience by partnering with key business areas in CVS Specialty Pharmacy to deliver impactful analytic products and insights. As a member of the team, you will be at the forefront of delivering high visibility products for key strategic priorities. They will use their knowledge in Python scripting and SQL to investigate problems, detect patterns, and recommend solutions.
 

In this role, you will have the opportunity to: 

• Utilize analytics expertise to collaborate with senior leaders in identifying new use cases that align with ambitious goals in CVS Specialty 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 improve operation efficiency analytics, as well as growth analytics, employing both descriptive, predictive and optimization techniques.
• Guide the technical approach, leverage large datasets, and build scalable and deployment ready models (ML, LLMs and optimization) that work well with CVS diverse product portfolio, develop robust methodologies to assess model performance.
• Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. 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,

We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

Required Qualifications

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Operations Research/Industrial Engineering, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree is preferred
• 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 CVS Specialty Pharmacy

Preferred Qualifications

• Work experience in consulting industry
• Demonstrated experience applying operations research, reinforcement learning, simulation, and/or dynamic programming techniques.
• Hands on experience solving prioritization, scheduling or supply chain problems by building mathematical optimization models using open-source or commercial optimization solvers (such as Gurobi, Pulp, CPLEX)
• Experience with cloud computing platforms (e.g., GCP.), including querying/mining large datasets and deploying projects on cloud systems.
• 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 related discipline.
• Master’s degree or PhD preferred

Anticipated Weekly Hours