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

Do you want to be at the forefront of one of the most exciting and visible applications of Gen AI and machine learning at CVS Health? We are seeking a seasoned data scientist to join the Voice AI team. Voice AI is a suite of internally developed, cutting edge solutions to provide our call centers with the tools and insights needed to drive positive member experience and optimize call center effectiveness. You will work with the A&BC data engineering team, product team, and business to establish the technical requirements and implement them.

As a data scientist you will be responsible for:

• Developing features for our product suite and ensuring that the solution we develop meet our business partner’s needs.
• Building trust with business partners and other data science teams to Identify new use cases.
• Evaluate the solution impact on technical and business metrics.

Required Qualifications

• Strong Python and SQL skills
• Experience building and evaluating data products with AI, prompt engineering, and language models
• Experience with natural language processing - classification (sequence/token), information retrieval (dense/sparse search), and regex
• At least three years of experience

Preferred Qualifications

• Excellent ability to structure and solve problems effectively
• Familiarity navigating GCP - GCS, Bigquery, Bigtable, dataproc, Vertex a
• Excellent communication and presentation skills, with the ability to work effectively with cross-functional teams
• Experience working on a product team

Education

• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, etc.), or equivalent practical experience
• Master’s degree or PhD in a quantitative field preferred

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

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

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