• Apply knowledge of advanced analytic algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drive productivity. • Use in-depth knowledge of the data science and AI landscape and hands-on expertise to implement solutions in production environments. • Shape advanced conceptual thinking to solve complex or novel situations that have never been dealt with before. • Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses. • Create and mine datasets in Google BigQuery and other company data sources to support analyses. • Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions. • Explore new technologies to enhance the Data and Analytics team’s data ecosystem. • Aid in the development of best practices used in business metrics analysis. • Support process improvement discussions with stakeholders informed by analytical insights. • Participate in business partner-facing presentations and meetings as needed. • Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines.

Position Summary The Senior Data Scientist is a highly skilled individual contributor responsible for leading complex analytical and modeling efforts using CAQH’s healthcare datasets. This role builds on the core Data Scientist position by taking greater ownership of analytical design, modeling decisions, and delivery of insights for high-impact initiatives. The Senior Data Scientist independently leads projects of moderate-to-high complexity, develops and validates advanced models, and works closely with engineering and business partners to translate analytical approaches into production-ready solutions. This role operates with limited oversight and is expected to apply strong technical judgment when working in ambiguous problem spaces. The Senior Data Scientist is a full-time, remote, exempt position and reports to the Sr.Director, Data Science & Analytics Specific Responsibilities - Lead the development, validation, and refinement of advanced statistical and machine learning models for complex business problems. - Serve as the primary analytical owner for assigned initiatives, with accountability for model quality, analytical rigor, and timely delivery of results. - Design analytical approaches and modeling strategies, translating business questions into well-defined technical solutions. - Perform advanced feature engineering, exploratory data analysis, and model evaluation using large, complex healthcare datasets. - Partner with Data Engineering and Information Systems teams to translate modeling approaches into production-ready solutions, while engineering teams own deployment and operations. - Support production models through performance analysis, monitoring, and retraining activities. - Design and execute experiments to test hypotheses and measure the impact of analytical solutions. - Evaluate new data sources and assess their suitability, quality, and limitations for modeling and analysis. - Communicate analytical findings, model behavior, and key assumptions to stakeholders with varying levels of technical expertise. - Document analytical methods, decisions, and results to support reproducibility and knowledge sharing. - Provide peer-level technical guidance and code review to Data Scientists and Analysts, supporting their development without formal leadership responsibility. - Contribute reusable code, features, and analytical assets to shared repositories and team standards. Skills - Advanced proficiency in Python, R, and SQL for statistical analysis, modeling, and feature engineering. - Strong hands-on experience with statistical and machine learning techniques, including regression/GLM, tree-based methods, boosting, clustering, and basic text analytics. - Proven experience developing, validating, and tuning models for real-world use cases. - Experience supporting models in production environments, including collaboration with engineers on deployment and monitoring. - Solid understanding of model evaluation, experimental design, and performance metrics. - Strong data wrangling skills and experience working with large, complex datasets. - Ability to create clear, compelling data visualizations and analytical narratives using tools such as Power BI, Tableau, or R/Shiny. - Ability to translate business problems into analytical approaches with limited guidance. - Strong written and verbal communication skills for working effectively with cross- functional stakeholders. - Experience following best practices for reproducible research, version control, and documentation. - Ability to provide constructive peer feedback and informal mentorship. - Demonstrated curiosity and willingness to learn new tools, methods, and domains. Experience - Describe the experience and attributes of the ideal candidate - 4–7 years of experience building statistical or machine learning models using large datasets - Advanced degree in Computer Science, Engineering or relevant field; PhD in Data Science or another quantitative field is preferred. Who We Are CAQH is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, CAQH helps healthcare operate more efficiently, accurately, and with greater confidence. What You Get At CAQH, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better. You will collaborate with experienced professionals who care deeply about accuracy, trust, and meaningful impact in a fully remote environment. CAQH offers competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with company contributions and matching, paid parental leave, tuition assistance, and generous paid time off. We are committed to investing in our people and supporting professional growth over time.

• Provide oversight and direction to the employees in the Technical Services Domain in accordance with the organization's policies and procedures. • Coach, mentor, and develop employees, including overseeing new employee onboarding and providing career development planning and opportunities. • Act as primary escalation point for reporting employees. • Responsible for completion of annual performance reviews. • Work with Human Resources to recruit, interview, select, hire, and employ an appropriate number of employees. • Provide effective performance feedback through employee recognition, rewards, and disciplinary action, with the assistance of Human Resources, when necessary. • Ensure team members are ready for successful delivery of client projects, solution design, and the implementation of requirements. • Maintain high standards for project execution and quality. • Oversee the development of machine learning models, statistical analyses, and end-to-end data pipelines. • Stay abreast of emerging technologies and methodologies. • Foster a spirit of teamwork and unity among department members that allows for disagreement over ideas, conflict and expeditious conflict resolution, and the appreciation of diversity as well as cohesiveness, support, and working effectively together to enable each employee and the department to succeed. • Manage inter- and intra- team conflicts through direct issue resolution approaches. • Responsible for building community among the team, including Global Delivery Center resources. • Responsible for ensuring reporting employees are scheduled to maximum utilization and meeting revenue targets. • Monitor team performance and report on metrics. • Lead employees to meet the organization's expectations for productivity, quality, continuous improvement, and goal accomplishment. • Empower employees to take responsibility for their jobs and goals. • Partner with leaders across the Domain to deliver regular feedback to staff. • Align with GDC Manager as it relates to project assignments and staffing. • Responsible for ensuring all managed employees enter weekly time and expense entries within the required timeframes and that approvals are completed. • Maintain transparent communication. • Appropriately communicate organizational information through department meetings, one-on-one meetings, and appropriate email, Teams and regular interpersonal communication.

• Define and execute the Data & Technology strategy in line with business goals • Lead, coach, and manage the Data, Analytics, Development, and Business Analysis teams • Establish and enforce data governance, coding, and delivery standards • Chair the steering committee to prioritise initiatives and allocate resources • Oversee system stability, ensuring zero extended outages and effective incident management • Manage technology budgets, cloud costs, and vendor relationships • Drive adoption of agile delivery methods and standardised processes across all teams • Act as an escalation point for data, analytics, and system delivery issues • Foster a culture of accountability, innovation, and continuous improvement • Prepare regular performance reports for the CEO/Head of Strategy and executive leadership