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Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

P3 Senior Data Scientist/Senior ML, Iris Acceleration

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 seasoned and high performing data scientist to join Call Intelligence team. Call Intelligence is an internally developed, cutting edge Gen AI solution which automatically provides granular insights into the reasons our member’s call. This role requires someone who is willing to become a subject matter expert on customer service practices - the best way to create a tool that serves users is to think like a user and become deeply familiar with their pain points. You will work with the A&BC data engineering team, product team, and business (Aetna Health, Service Operations, etc.) to establish requirements, design enhancements, implement them or coordinate implementation with DE, evaluate performance, and measure impact.

As a data scientist you will be responsible for:

Developing new features for our Call Intelligence solutions Perform analytics to ensure that the solution we develop meet our business partner’s needs and identify opportunities for improvement. Help identify new use cases for the Call Intelligence, working with business partners, as well as help partners leverage the ut to improve servicing efficiency and customer experience. Evaluate the solution impact on technical and business metrics.

Required Qualifications

• Strong Python and SQL skills

• Experience building and evaluating data products with gen AI

• 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 ai

• Excellent communication and presentation skills, with the ability to work effectively with cross-functional teams

• Experience with Generative AI, LLM, and NLP

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.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)

We anticipate the application window for this opening will close on: 12/03/2024

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.