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

Aetna Smart Compare analytics product team is seeking a Senior Data Scientist with strong background and experience in developing recommendation engines using Machine Learning algorithms. In this role, you will work closely with other data scientists, data engineers, ML engineers and Digital product teams to deliver ML models that deliver near real-time provider recommendations to customers.

The ideal candidate

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to optimize patient - provider interaction scenarios and potential future outcomes
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
Has a broad knowledge of the organization and/or healthcare industry at large
Collaborates with business partners to understand and solve their problems and help achieve their goals
Understands data architecture and API development principles to collaborate with Data Engineering partners in product development
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Uses strong programming skills to explore, examine and interpret large volumes of data in various forms

Required Qualifications

3+ years as a Data Scientist with relevant analytic experience, including designing, building, and deploying deep learning models specifically for recommendation systems
3+ years' experience programming using Python
3+ years SQL programming experience
2+ years' experience with Cloud ( GCP , AWS or Azure )
2+ years' experience developing algorithms and statistical predictive models

Preferred Qualifications

Previous experience in the Healthcare domain
Proficiency with frameworks, particularly PyTorch and NVIDIA-Merlin, including hands-on experience with model architecture design and training at scale
Familiarity with customer segmentation and addressing cold-start problems, employing strategies like hybrid or collaborative filtering approaches
Demonstrated experience communicating technical concepts and implications to business partners and anticipating and preventing problems and roadblocks before they occur
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Demonstrated proficiency in most areas of mathematical analysis methods including: machine learning, recommendation engines, statistical analysis, and predictive modeling and in-depth specialization in some areas

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline required
Master’s degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is

$111,240.00 - $222,480.00

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: 08/29/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Qualifications

Has a broad knowledge of the organization and/or healthcare industry at large
3+ years as a Data Scientist with relevant analytic experience, including designing, building, and deploying deep learning models specifically for recommendation systems
3+ years' experience programming using Python
3+ years SQL programming experience
2+ years' experience with Cloud ( GCP , AWS or Azure )
2+ years' experience developing algorithms and statistical predictive models
Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline required

Benefits

Pay Range
$111,240.00 - $222,480.00
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
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

Responsibilities

In this role, you will work closely with other data scientists, data engineers, ML engineers and Digital product teams to deliver ML models that deliver near real-time provider recommendations to customers
Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to optimize patient - provider interaction scenarios and potential future outcomes
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
Collaborates with business partners to understand and solve their problems and help achieve their goals
Understands data architecture and API development principles to collaborate with Data Engineering partners in product development
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Uses strong programming skills to explore, examine and interpret large volumes of data in various forms

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Senior Data Scientist - Digital Analytics