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

Sandisk is a leading company in data solutions and innovations, and they are seeking a highly skilled Staff Data Scientist to join their Advanced Supply Chain Analytics team. This role will focus on developing intelligent systems that enhance forecasting, planning, and operational decision-making across the global supply chain.

Responsibilities:

• 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.)
• 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
• 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
• 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