Design, build, and deploy production-grade machine learning models and analytical solutions. Work end-to-end from problem definition to production, write performant Python and SQL, resolve data quality issues, collaborate with product and engineering, support on-call, automate reporting, mentor junior teammates, and improve model reliability and workflows.