Sr. Data Scientist

About the position

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. This is a hybrid role requiring working from the Connecticut or Chicago office 3 days a week. We seek a skilled Senior Data Scientist to join our Medicare Population Health Enablement data science team. In this role you will be responsible for supporting and evaluating a variety of initiatives to reduce health disparities in Aetna's Medicare population. We are looking for a data scientist with dual experience in program evaluation, health disparities, and/or clinical bias. You will analyze problems like how benefit changes impact members and examine the effectiveness of programs to assist members with social risk factors. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud.

Responsibilities

• Support and evaluate initiatives to reduce health disparities in Aetna's Medicare population.
• Analyze how benefit changes impact members.
• Examine the effectiveness of programs to assist members with social risk factors.
• Collaborate with cross-functional teams to understand requirements and define objectives.
• Deliver insights on the cloud.

Requirements

• 3+ years industry experience in data science or machine learning.
• 3+ years industry experience in program design, management, or evaluation.
• Experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure).
• Experience querying production tables for obtaining data (e.g. SQL, NoSQL).
• Proficient in Python and object-oriented programming.
• Experience in statistics and hypothesis testing.
• Good communication skills including the ability to explain technical concepts to non-technical audiences.
• Bachelor's degree in social science (e.g., psychology, public health), data science, statistics, computer science or related field.

Nice-to-haves

• Successful design, deployment, management, and evaluation of programs to address disparities between groups.
• Experience with healthcare data, especially in the health disparity domain.
• Knowledge of advanced experimental techniques (mixed modeling, difference-in-difference designs, propensity scores).
• Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer).
• Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
• Advanced degree in social science (e.g., psychology, public health), data science, statistics, computer science or related field.

Benefits

• Affordable medical plan options.
• 401(k) plan (including matching company contributions).
• Employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.