Manager, Yield Management - GTM AA Data Scientist
Core
Lead a team of data scientists and AI/ML engineers to design, build, and deploy production-grade AI/ML models for predictive demand forecasting, dynamic segmentation, and yield optimization.
Role type
Senior IC/Lead Machine Learning Engineer (Yield Management)
Builds
Production-grade AI/ML models, time-series forecasting algorithms, and Agentic AI solutions for sales and operations planning (S&OP).
Domain
Automotive manufacturing, Yield Management, Supply Chain
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, SQL, MLOps, Docker, Kubernetes, Git, AWS/Azure/GCP, Agentic AI frameworks, LLM orchestration
Preferred skills
Management consulting experience, Yield Management/Revenue Management/Supply Chain/S&OP domain knowledge, Spark
Technologies
PyTorch, TensorFlow, scikit-learn, AWS, Azure, GCP, Docker, Kubernetes, Git, Spark
Responsibilities
Guide and mentor a team of 4–6 AI/ML engineers and data scientists; Lead the hands-on development, testing, and deployment of predictive models and optimization algorithms; Oversee the development and refinement of demand sensing algorithms; Drive the integration and deployment of Agentic AI solutions; Ensure robust MLOps pipelines for data ingestion, training, and monitoring; Establish code and architecture standards; Partner with product managers and engineers to translate requirements into technical specifications.
Seniority
Senior, hands-on IC with team leadership
