• Identifies business trends and problems through complex data analysis • Interprets results from multiple sources using a variety of techniques • Designs, develops, and implements high-impact, scalable business solutions • Partners cross-functionally to translate business needs into analytical frameworks and actionable insights • Leverage expertise in handling large, complex datasets to perform exploratory data analysis, feature engineering, and statistically sound sample design • Build, validate, deploy, and enhance complex predictive and machine learning models • Design, build, deploy, and monitor machine learning models in production environments • Implement model lifecycle management best practices • Automate feedback loops for algorithms and models in production • Design and execute experiments to evaluate model performance and business impact • Act as a technical subject matter expert and mentor junior data scientists