• Transform technology into opportunity as a Data Scientist with GDIT • Drive innovation and provide transformative solutions to our clients’ big-data obstacles • Design and develop statistical analyses (including predictive, inferential, supervised, non-supervised, ensemble and clustering) • Visualize the output of statistical models, and present and interpret the output for the corresponding client audience and group • Perform initial ETL and cleaning as necessary in preparation for modeling • Perform exploratory data analysis and model-fitting to reveal data features of interest to include machine learned and predictive modeling • Develop conceptual design and models to address mission requirements • Develop qualitative and quantitative methods for characterizing datasets in various states; and perform analytic modeling, scripting, and/or programming • Create and maintain report specifications and process documentation as part of the required data deliverables • Evaluate, document, and communicate research processes, analyses, and results to customers, peers, and leadership using the data science methodology framework

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health The Data Product team is responsible for developing and evolving the core data asset that powers Komodo Health’s application suite, our Healthcare Map. Serving as the foundation of the company’s offerings, the team transforms complex healthcare data into scalable, high-quality products that enable meaningful insights for life sciences and healthcare stakeholders. The Data Principal acts as the primary evangelist of Komodo’s data, partnering directly with our highest-value customers to accelerate their adoption of our products and realize value from them in their existing workflows. Key responsibilities include empowering users using our data, enabling advanced analytic use cases and designing solutions to address emerging business questions. As a key voice of the customer, the Data Principal will also synthesize market feedback and unmet needs back to internal teams to inform ongoing product development and strategy. **This is an individual contributor role. Looking back on your first 12 months at Komodo Health, you will have… - Proactive Relationship Building: Established trust with key clients by empowering their ability to execute impactful, data-driven insights. - Accelerated Time-to-Value: Served as a thought-partner to our customers, demonstrating understanding of their needs and how that translates to Komodo’s products. - Scalable Solutioning: Developed analytical frameworks, interactive visualizations, documentation and/or other materials to standardize how customers understand Komodo’s data. You will accomplish these outcomes through the following responsibilities… - Strategic Onboarding: Lead the discovery phase for high-value clients, ensuring they understand Komodo’s data differentiation in the market and its influence on our data products. - Use Case Architecture: Consult on complex analytical queries (e.g., patient longitudinal studies, provider segmentation) to ensure customers get accurate results. - Analytical Support & Tooling: Build and maintain helper scripts, documentation, and visualizations that support analytic generation for customers. - Cross-Functional Advocacy: Synthesize technical challenges faced by customers and present them to product teams to influence the enhancement of our data products. What you bring to Komodo Health: - Minimum seven (7) years experience in data analytics, management consulting or similar roles within the healthcare space (specific market segments of interest are RWE/HEOR, Commercial Life Sciences, or Payer/Provider). - Previous experience working with claims-based or similar datasets. - Proven ability to partner directly with customers, building trusted relationships while translating customer questions and challenges into clear analytical approaches and actionable recommendations. - Demonstrated ability to translate complex concepts to both technical and non-technical audiences. - Strong critical thinking and problem-solving abilities. Proactive, curious, and impact-oriented mindset. - Skilled at cultivating trusted relationships across teams. Expectations of AI Use in this role (required): - Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualization creation. Additional skills and experience we’d prioritize (nice to have): - Degree in statistics, math, economics or other quantitative fields. - Expertise in SQL, Python, or R to query and model longitudinal patient data. - Experience interacting with, managing, or building with AI agentic workflows. #LIRemote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $193,000—$230,000 USD All Other US Locations: $168,000—$200,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors. This notice explains how we collect, use, and retain applicant data.

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth • Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies • Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques • Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written • Identify what matters most and prioritize ruthlessly for the area you will own • Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact • Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

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 The 340B Analytics team is seeking a Sr. Data Science Analyst to support CVS’s 340B operations. In this role, you will collaborate with stakeholders across the organization to deliver advanced analytics and AI-driven insights that inform strategic initiatives. You will leverage predictive modeling, pharmacy claims analysis, and large language models (LLMs) to identify opportunities for revenue growth, client acquisition and retention, operational optimization, and cost savings. This role requires end-to-end ownership of analytics projects—from data extraction and transformation to modeling and visualization—while driving innovation through the use of AI and automation tools. Primary Responsibilities: - Design and implement predictive models to forecast CE performance, customer behavior, and business outcomes. - Apply AI and Large Language Models (LLMs) to automate insights generation, enhance reporting, and support strategic initiatives. - Own the full lifecycle of analytics projects, including data extraction, transformation, modeling, and visualization. - Collaborate with subject matter experts (SMEs) across business, marketing, and finance to ensure analytics solutions are accurate, timely, and actionable. - Analyze pharmacy claims and market data to identify root causes of performance issues and recommend improvements. - Develop and maintain dashboards using Tableau and build automation workflows using Dataiku, Alteryx, Python, or R. - Conduct market research and trend analysis to assess the size, dynamics, and competitive landscape of the 340B market. - Continuously explore and implement innovative tools and methodologies to improve analytic capabilities and drive business impact. Required Qualifications: - Experience in predictive modeling. - Proficiency in SQL for data extraction and manipulation. - Experience using AI and LLMs to solve business problems or automate analytics tasks. - Strong analytical and strategic thinking skills with the ability to translate data into actionable insights. - Excellent communication and collaboration skills across technical and non-technical teams. - Experience with data visualization tools (e.g., Tableau, Power BI). - Familiarity with low-code/no-code platforms (e.g., Alteryx, Dataiku). Preferred Qualifications: - Working knowledge of Python or R for data science workflows. - Experience in statistical analysis, and machine learning. Education - Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science) with 5+ years of relevant experience, or a Master’s degree in a related field. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $46,988.00 - $158,620.00 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: 03/21/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.