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- Develop features for our Call Intelligence product and ensure that the solution meets our business partners' needs.
- Build trust with business partners and other data science teams to identify new use cases.
- Evaluate the solution's impact on technical and business metrics.
- 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.
- 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 working on a product team.
- Bachelor's degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, etc.), or equivalent practical experience.
Data Scientist, Call Intelligence - Irving - CVS Health

Description
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming healthcare.
We reach millions of Americans through our local presence, digital channels, and over 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.
Position Summary
We're seeking a seasoned and high-performing data scientist to join the Call Intelligence team, which provides cutting-edge solutions to drive positive member experience and optimize call center effectiveness using Gen AI and machine learning at CVS Health.
As a data scientist, you will work with the A&BC data engineering team, product team, and business to establish technical requirements and implement them.
Key Responsibilities:
Requirements:
Essential Qualifications:
Preferred Qualifications:
Education:
Benefits:
We offer a comprehensive and competitive mix of pay and benefits, including affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. We also provide no-cost programs for all colleagues, such as wellness screenings, tobacco cessation, and weight management programs, confidential counseling, and financial coaching.
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