Data Scientist, Call Intelligence

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. 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. 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 and high performing data scientist to join Call Intelligence team. Call Intelligence is an internally developed, cutting edge solution 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 Call Intelligence product and ensuring that the solution we develop meet our business partner’s needs. Building trust with business parnters 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 Pay Range The typical pay range for this role is: $72,100.00 - $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 We anticipate the application window for this opening will close on: 02/11/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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