Data Scientist - Commitments AI

Implements systems using data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of contract data and solve complex business problems.

• Deploys data science initiatives using data mining, data modeling, NLP, and ML techniques (RAG, vector embeddings, LLMs) to extract key information from contracts.
• Designs data solutions that meet client requirements by leveraging industry-leading tools and best practices to profile and translate contract data.
• Applies data science and ML knowledge to improve contract extraction capabilities, optimize document processing operations, and drive evidence-based decision-making.
• Develops analytical frameworks, key metrics, and performance dashboards to monitor extraction accuracy, processing efficiency, and system performance, including OKRs.
• Communicates with stakeholders (executives, legal professionals, IT, business analysts) to understand needs and provide data-driven solutions.
• Coordinates presentations and consultative services that outline data analytics results and demonstrate business impact of system improvements.
• Stays current on innovative data analysis techniques, visualization tools, programming languages, and latest research papers in RAG, LLM applications, and information extraction.
• Ensures adherence to data governance policies and procedures by educating team members on data science best practices and quality standards.

Required Qualifications

• 1-2+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SQL and MongoDB querying
• Experience working in at least 1 cloud environment
• Experience with data analysis libraries.

Preferred Qualifications

• Demonstrates good written and verbal communication skills and a strong ability to communicate technical concepts and implications to business partners
• Effectively resolves problems and roadblocks as they occur
• Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering, and data visualization
• Ability to work with large data sets from multiple data sources
• Experience with Generative AI/LLM applications, prompt engineering, model evaluation.
• Experience with vector embeddings and semantic search analysis
• Experience with document processing and text analysis
• Familiarity with data validation frameworks and quality assurance systems
• Experience with performance analysis and optimization metrics

Education

• Bachelor's degree in Finance, Economics, Mathematics, Actuarial Science, Data Science, or a related field is required.
• Master's degree preferred

Why Join Us?

• This is a unique opportunity to make a significant impact on Caremark's Underwriting business. If you are a strategic thinker with a passion for analytics and a desire to drive meaningful change, we invite you to apply and be part of our dynamic team!

Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$64,890.00 - $158,620.00This 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 peopleWe 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/benefitsWe anticipate the application window for this opening will close on: 01/27/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.