Lead Data Scientist

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

CVS Health’s mission is to improve lives by making innovative and high-quality health and pharmacy services safe, affordable, and easy to access. Our team embodies this mission each day, pioneering bold new approaches to total health. We leverage large health and retail datasets & advanced data science techniques to drive the company’s pharmacy operations strategy; some examples over the past year include rolling out COVID-19 vaccines across the country as the lead retail provider in the nation, improving the pharmacy experience for millions of patients, and optimizing activities for thousands of medical providers. We are seeking talented & passionate individuals to be part of this high-impact team.

Why CVS Health Analytics & Behavior Change?

Looking for opportunities to use cutting-edge technologies to analyze petabytes of data? Interested in generating analytical insights to optimize retail and community pharmacy care? The Analytics & Behavior Change team is an elite, rapidly growing community of nearly 1,000 MDs, PhDs, MBAs, and MScs from top-tier universities and industries who bring their clinical, technical, and economic experience to bear in tackling some of today’s most critical healthcare questions.

Get in at the ground floor of our digital transformation. The combined data assets of CVS Health are massive and largely untapped. Help us revolutionize healthcare by innovating solutions to high-visibility challenges with unparalleled access to unique datasets.

What you’ll do

The Retail Operations & Immunization Analytics team provides analytics based strategic recommendations on all initiatives in the pharmacy. Over the past year, this has included rolling out nationwide COVID-19 vaccines, testing, & medications at scale while maximizing health equity, provider safety, and public health priorities. We continue to stand up a robust analytics engine to optimize these ongoing initiatives and provide executive reports for internal leadership & government leaders. Upcoming activities include rolling out critical initiatives to optimize immunizations and pharmacy product delivery, building a comprehensive analytics platform across all CVS pharmacies & providers, and improving store service levels for our customers.

The team wields cutting-edge analytics and data science techniques to improve the efficiency and effectiveness of our immunization and retail store operations. If you are a hands-on doer who enjoys an entrepreneurial working environment, join us as a Lead Scientist. In this role, you will help manage and execute a portfolio of predictive modeling, forecasting, optimization, and evaluation projects.

You will serve as an internal expert to business teams within our Retail Health business, to help them harness the power of data to answer mission critical problems and develop new and innovative products. You will report directly to the Lead Director of Operations & Immunization Analytics, while working together with a team of Data Scientists, BI developers, and analytics consultants. There is an option to be fully remote.

In any given day, you will

• Apply experience from strategy consulting and data science to successfully act as the owner for multiple analytics initiatives
• Collaborate with business partners to understand key drivers of value, as well as challenges and goals for new products.
• Identify opportunities to translate business needs into data science solutions and develop actionable insights
• Determine analytical approaches, modeling techniques and performance metrics to optimize and evaluate new programs – previous projects have applied a diverse set of solutions using retrospective or prospective data analysis, including classification and targeting approaches, causal inference methods, NLP and machine learning models.
• Wrangle large structured and unstructured datasets from disparate enterprise databases, including prescription drug claims, Electronic Health Records, retail transaction data and publicly available sources.
• Own and manage stakeholder relationships across the business
• Establish workplans, timelines, and deliverables for analytics and data science projects, and effectively weigh business and technical tradeoffs
• Mentor a team of junior analysts and data scientists
• Present modeling results and recommendations to senior stakeholders, tying progress to enterprise goals
• Share insights across teams to inform collaborative efforts

Required Qualifications

• 5+ years of experience leading analyses and data-driven initiatives with a demonstrated track record of business impact
• 8+ years total experience
• 4+ years’ experience extracting data using SQL or Spark
• 4+ years’ experience conducting data analysis using R or Python
• Data visualization & storytelling experience (e.g. with tools such as Tableau)