• Serve as the primary finance lead for assigned markets/focus areas • Own end‑to‑end financial support for IDN and PCP risk negotiations • Lead complex scenario analysis and large‑scale model adjustments • Translate enterprise models into market‑specific financial narratives • Partner with market presidents, contracting, and network strategy leaders • Set analytic priorities and manage multi‑deal demand • Provide direction, review, and coaching to support analysts and associates • Represent finance in market‑level strategy discussions and escalations

• Leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. • Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. • Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. • Collaborating with cross-functional teams to understand business needs and translate them into analytical solutions. • Developing and deploying machine learning models to enhance predictive capabilities and optimize business processes. • Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement.

• Design and implement machine learning models for search and recommendation systems, including ranking, retrieval, personalization, and query understanding • Build ranking and recommendation models using user behavior, embeddings, content signals, and contextual features • Develop personalization systems that tailor results based on user behavior, preferences, and contextual signals • Collaborate with data and search engineers to build scalable data pipelines supporting search and recommendation systems • Partner with software engineers to integrate ML models into production services via APIs • Design and execute A/B tests to evaluate model performance and business impact • Monitor offline and online metrics to identify opportunities for improving relevance, ranking, and engagement • Apply modern ML and GenAI techniques to improve search and discovery experiences • Contribute to best practices in modeling, experimentation, and production ML systems

• Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights • Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products • Integrate geospatial data and methods into analytical workflows • Build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical models • Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces • Develop and maintain internal documentation covering data sources, model architecture, data flows, and diagnostic procedures