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.
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 day.
Data Scientist
The Analytics and Behavior Change organization is looking for an accomplished data scientist to join its Next Best Action team. This person would work with a cross-functional group of data scientists, data engineers, and marketing experts to design behavior change experiments, engineer them, and statistically measure them to evaluate the impact of the intervention(s). We are looking for innovative and driven individuals to join our team. As a Data Scientist at CVS Health, you will be at the forefront of utilizing advanced analytics to drive strategic initiatives and support our mission of providing top-notch care to our members.
Description/Fundamental Components:
Explores, examines and interprets large volumes of data in various forms. Performs analyses of structured and unstructured data to solve complex business problems Performs statistical impact measurement of large-scale RCTs (A/B tests) using industry-standard statistical methods driving actionable insights Develops, validates, and executes algorithms and predictive models to investigate problems, detect patterns, and recommend solutions Uses data visualization techniques to effectively communicate analytical results and support business decisions Documents projects exhaustively Effectively communicates results and insights to internal and external stakeholders Uses an iterative approach to build analytics solutions, starting with fundamental models and progressively enhancing complexity based on observed impact, balancing effort with outcome
Required Qualifications:
2+ years of relevant data science and/or data analytics experience
Strong Experience in Python and SQL
Preferred Qualifications:
Proficiency in our Python stack: Pandas, NumPy, Scikit-Learn, Matplotlib/Plotly, statsmodels.
Familiarity with cloud platforms (especially GCP)
Strong software engineering fundamentals (e.g., can write clean python functions and classes)
Experimental Design and Statistical Analysis: strong foundation in designing and evaluating experiments, with a focus of causal inference, A/B testing, and statistical measurement to drive informed decision making.
Workflow automation: experience with workflow orchestration tools like Apache Airflow to manage and streamline complex data processes
Experience using version control (i.e., git)
Effective written and verbal communication, including a strong ability to communicate technical concepts and implications to non-technical business partners
Effectively resolves problems and roadblocks as they occur
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Ability to work with large data sets from multiple data sources
Education: Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Master's degree preferred
Time Type: Full time
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an 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.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 06/06/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
