• Lead a team of applied scientists and machine learning engineers in developing and deploying advanced models and algorithms.
• Drive the technical vision, research agenda, and roadmap for applied science initiatives aligned with business priorities.
• Oversee experimentation, evaluation, and deployment of machine learning models into production environments.
• Collaborate with Product, Engineering, and Data teams to integrate models into scalable systems.
• Champion best practices in scientific rigor, experimentation, reproducibility, and responsible AI.
• Mentor team members and foster a high-performance culture grounded in innovation and continuous learning.
• Monitor project progress, remove blockers, and ensure delivery of high-impact outcomes on time and within scope.
• Represent the applied science function in executive and strategic planning discussions.