Data Scientist - Commitments AI

CVS Health

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About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Overview: CVS Caremark is seeking a Data Scientist to extract key information from legal contracts. In this position, you will develop and optimize extraction algorithms, build and track system KPIs, and quantify business results from system improvements. This role offers the opportunity to be curious, explore cutting-edge technologies, and implement the latest research papers to advance our extraction capabilities. Position Summary 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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level