Overview
On Site
USD 111,240.00 - 222,480.00 per year
Full Time
Skills
Health Care
Analytical Skill
A/B Testing
Data Engineering
GitHub
Machine Learning Operations (ML Ops)
Data Analysis
Retail
Pharmacy
Communication
Presentations
Collaboration
Business Marketing
Mentorship
Deep Learning
Cloud Computing
Machine Learning (ML)
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Python
SQL
Data Quality
Data Modeling
Snow Flake Schema
Databricks
Mathematics
Statistics
Computer Science
Business Analytics
Economics
Physics
Management
Finance
Coaching
Job Details
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
Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
Deploy large scale machine learning and deep learning models in a production environment.
Design and execute A/B testing, evaluate bias and develop strategies to minimize or account for experimentation bias.
Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.)
Perform data quality assessments, remediate or curate data as necessary, perform data modeling
Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from billions of transactional records at the Retail Pharmacy.
Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization.
Mentor peers and lead intern projects.
Required Qualifications
3+ years of hands-on experience in generating business insights, machine learning and deep learning frameworks
Strong experience with deployment of machine learning and deep learning models in production
Strong experience with cloud based ML frameworks (either AWS, Azure or Google Cloud Platform)
Strong proficiency with Python and SQL, data quality assessment and data modeling
Preferred Qualifications
Experience working with Snowflake and Databricks
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
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:
For more information, visit ;br>
We anticipate the application window for this opening will close on: 07/25/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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
Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
Deploy large scale machine learning and deep learning models in a production environment.
Design and execute A/B testing, evaluate bias and develop strategies to minimize or account for experimentation bias.
Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.)
Perform data quality assessments, remediate or curate data as necessary, perform data modeling
Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from billions of transactional records at the Retail Pharmacy.
Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization.
Mentor peers and lead intern projects.
Required Qualifications
3+ years of hands-on experience in generating business insights, machine learning and deep learning frameworks
Strong experience with deployment of machine learning and deep learning models in production
Strong experience with cloud based ML frameworks (either AWS, Azure or Google Cloud Platform)
Strong proficiency with Python and SQL, data quality assessment and data modeling
Preferred Qualifications
Experience working with Snowflake and Databricks
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
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 ;br>
We anticipate the application window for this opening will close on: 07/25/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.