Job DescriptionWe 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.
QualificationsREQUIRED:- 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, LangChain, Agentic AI frameworks (e.g., AutoGen, CrewAI, BabyAGI).
- Proficiency with Docker, Kubernetes, MLflow, Airflow, and GitHub.
- Familiarity with AWS services and observability tools like Grafana and CloudWatch.
- Exceptional communication, stakeholder management, and problem-solving skills.
- Proven leadership in cross-functional, innovation-focused environments.
Domain Expertise: - Strong understanding of supply chain systems (SAP, BY ESP, MES) and planning processes (MEIO, IBP, factory build planning).
Why Join Us? - Shape the future of Agentic and Generative AI-driven Supply Chain Transformation.
- Collaborate with global teams driving large-scale operational excellence.
- Work with cutting-edge AI tools to solve complex, real-world problems at enterprise scale.
Compensation & Benefits Details- An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
- The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
- You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
- We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
