Staff Data Scientist – AI/ML, Generative AI & Agentic Systems at Sandisk

We are seeking a highly skilled and forward-thinking Staff Data Scientist with 5–7 years of experience in AI/ML, Generative AI, and Agentic AI systems to join our Advanced Supply Chain Analytics team. This role will focus on developing intelligent, autonomous, and self-orchestrating systems that enhance forecasting, planning, and operational decision-making across the global supply chain.  The ideal candidate will have hands-on experience with LLMs, LangChain, multi-agent frameworks, and cloud-based ML engineering (AWS). You will design scalable, production-grade AI solutions, collaborating closely with cross-functional teams to accelerate our digital and supply chain transformation journey.  ESSENTIAL DUTIES AND RESPONSIBILITIES: AI/ML, Generative AI & Agentic AI Development  • Design, build, and deploy AI/ML models for Supply Chain Planning (Demand Planning, Product Planning, Capacity planning, Inventory optimization, and production scheduling).  • Develop multi-agent and generative AI-powered systems (using LLMs and frameworks like LangChain, AutoGen, CrewAI) to enable real-time decision orchestration and intelligent automation.  • Prototype intelligent assistants that interpret complex workflows, automate tasks, and generate data-driven recommendations for supply chain planners.  • Implement autonomous agentic workflows that integrate insights across multiple enterprise systems (SAP, Blue Yonder, MES, Dynamics, etc.). Engineering & MLOps  • Build and maintain scalable AI/ML pipelines using Python, Pandas, Neural Prophet, SQL, Spark, and AWS tools (S3, Lambda, SageMaker).  • Utilize containerization (Docker) and orchestration (Kubernetes) for deployment of multi-agent applications.  • Apply MLOps best practices — CI/CD, model versioning, monitoring (Grafana, CloudWatch), and drift detection. Cross-Functional Collaboration  • Work with Planning, Procurement, Manufacturing, IT, and Engineering teams to identify and prioritize use cases for automation and decision augmentation.  • Present technical solutions, demonstrate prototypes, and communicate insights effectively to senior stakeholders. Innovation & Continuous Improvement  • Lead the exploration and adoption of Agentic AI frameworks for autonomous planning and execution in supply chain functions.  • Stay current with emerging technologies in AI/ML, GenAI, and distributed intelligence systems.  • Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency.