Staff Data Scientist – AI/ML, Generative AI & Agentic Systems
AI summary of the role
Staff Data Scientist role on the Advanced Supply Chain Analytics team at Sandisk, focused on building autonomous, agentic AI systems for global supply chain planning and operations.
What you’ll do
- Design, build, and deploy AI/ML models for supply chain planning (demand, product, capacity, inventory, production scheduling).
- Develop multi-agent and generative AI systems using LLMs and frameworks like LangChain, AutoGen, CrewAI for real-time decision orchestration.
- Build and maintain scalable AI/ML pipelines using Python, Spark, AWS (S3, Lambda, SageMaker), and MLOps practices (CI/CD, monitoring).
- Collaborate with Planning, Procurement, Manufacturing, IT, and Engineering to identify and prioritize automation use cases.
What you’ll bring
- Master's or PhD in Computer Science, Data Science, Statistics, or related quantitative field with AI/ML focus.
- 5-7 years of AI/ML model development and deployment, preferably in supply chain or manufacturing.
- Demonstrated success in designing and deploying LLM or agent-based systems for automation or optimization.
- Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Technologies
Python · SQL · Spark · TensorFlow · PyTorch · Scikit-learn · LangChain · AutoGen · CrewAI · AWS · SageMaker · Docker
About Sandisk
Pure-play NAND flash and SSD manufacturer supplying consumer, client, and hyperscale AI data-center storage — ~13% global NAND share.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description 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
More from the job description
Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description 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, autono [... source excerpt omitted ...] ision-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 fra [... source excerpt omitted ...] technologies in AI/ML, GenAI, and distributed intelligence systems. Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency. Qualifications REQUIRED: Master’s or PhD in Computer Science, Data Science, Statistics, or a related quantitative field with a focus on AI/ML. 5–7 years of experience in AI/ML model development and deployment, preferably in supply chain or manufacturing environments. Demonstrated success in designing and deploying LLM or agent-based systems for automation or optimization. SKILLS: Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLMs, LangC
Employer postings · Data from · Sources