Perform end-to-end analytical projects: source, clean, analyze, and synthesize data to answer commercial and operational questions. Communicate findings to investment teams and portfolio leadership, partner with data science and engineering, build reusable tools, and apply GenAI to accelerate workflows.

Hands-on senior individual-contributor data scientist who builds, deploys, monitors, and maintains production-grade ML models (forecasting, regression, classification). Partners with investment and business stakeholders to translate ambiguous problems, deliver scalable MLOps solutions on cloud (GCP preferred), author reusable libraries, and raise engineering and modeling standards across the team.