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. Position Summary CVS Health’s Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. You are tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases. You will: - be a subject matter expertise in clinical data, specifically from EHRs and HIEs, and how to apply it to solve healthcare problems. - develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes. - build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes. - create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions. - consult with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level. - solve complex problems and takes a new perspective on existing solutions. - present recommendations to senior staff and internal clients. - mentor more junior team members. Required Qualifications - 3+ years of business experience leading analyses and initiatives with track record of business impact - Experience solving analytics problems in the healthcare domain using clinical data. - Experience using SQL and Python in a cloud (GCP, Azure, AWS) to solve analytical problems. - Experience with clinical ontologies like SNOMED, LOINC, ICD-10, RxNorm, CPT-4, HCPCS, etc.. Preferred Qualifications - Experience with HL7 FHIR and Clinical Document Architecture specifications. - Experience with OHDSI OMOP Common Data Model. Education - Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience. - Master's degree in quantitative field strongly preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $185,400.00 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. 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 people We 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/benefits We anticipate the application window for this opening will close on: 03/14/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Data Scientist IV to join an innovative team collaborating with partners throughout the business to solve challenging problems. In this role, you’ll be optimizing company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This position sits on the Data and AI team, a team that sets the standard for data-driven and scientific decision-making throughout the business. The ideal candidate is a creative problem solver with excellent technical and communication skills and is committed to fostering a culture of continuous learning and innovation. What You'll Do - Lead the Development and Optimization of Machine Learning Models: Spearhead the design, development, and optimization of advanced machine learning models to personalize learning experiences, predict student outcomes, and enhance educational content delivery. - Data Analysis and Insight Generation: Utilize statistical analysis and data mining techniques to analyze vast amounts of data, deriving actionable insights that inform product development, user engagement strategies, and educational content improvement. - Collaborate on Cross-Functional Projects: Work closely with product managers, software engineers, and educational specialists to integrate data science solutions into the platform, ensuring they meet the company's educational goals and user needs. - Mentor and guide junior data scientists and analysts, fostering a culture of learning and continuous improvement within the team. - Regularly interact with senior management or executive levels in matters concerning data science. - Keep abreast of the latest developments in data science, machine learning, generative AI, and education technology, applying new techniques and technologies to solve complex problems in the educational domain. - Ensure the ethical use of data, adhere to privacy laws and regulations, and implement best practices in data governance to protect sensitive information related to students and educators. Qualifications - Advanced education (PhD or Master’s) in a quantitative field (science, math, statistics, engineering, etc.) with professional work experience as a Data Scientist. - 7+ years of experience leading data science initiatives to deliver impactful results. - Excellent written and oral communication skills. - An outstanding ability to communicate complex findings to stakeholders outside of Data Science in a clear, simple, and concise manner. - Prior experience mentoring and supporting junior to mid-level data scientists. - Advanced skills in Python, SQL. - 7+ years of experience with Natural Language Processing and Deep Learning. - Experience with git and cloud computing (AWS, GCP, or Azure). - Strong proficiency in traditional statistics and ML approaches. - Experience extracting data from a variety of sources in different formats. - Knowledge of best practices in coding/scientific projects. - Eager to take initiative in a fast-paced, ever-changing, dynamic environment. - Thrilled for the opportunity to truly impact the education landscape. Benefits - Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan. - Flexible time off, 13 paid holidays, paid parental leave, and a paid year-end holiday break. - A robust catalog of benefits that support your professional growth and personal well-being: wellness days, work-from-home funds, fertility & adoption reimbursement, and more… - A varied and challenging role in an innovative, global company. - Supportive, driven colleagues who have your back and share your passion.

• Leading the design and implementation of advanced data science methodologies and statistical models to support clinical research and data analysis. • Guiding a team of data scientists and analysts in the development and execution of data-driven strategies to optimize clinical trial design and outcomes. • Collaborating with cross-functional teams, including clinical, biostatistical, and regulatory experts, to ensure integration of data science insights into clinical development programs. • Driving innovation in the use of data science tools and techniques, including machine learning and predictive analytics, to enhance the efficiency and effectiveness of clinical trials. • Providing strategic direction and oversight for data management and analysis processes, ensuring compliance with regulatory requirements and industry best practices. • Communicating complex data findings and insights to stakeholders, including senior leadership and external partners, to support decision-making and strategic planning.

• Supporting the development and improvement of machine learning models used in sustainability analytics • Cleaning, processing, and transforming large structured and unstructured datasets • Conducting exploratory data analysis to identify trends, patterns, and anomalies in ESG and sustainability data • Assisting in building data pipelines and analytical workflows to improve data quality and efficiency • Collaborating with data scientists and engineers to test and evaluate model performance • Creating visualizations and summaries to communicate analytical findings clearly • Contributing to documentation and internal tools that improve data accessibility and reproducibility