Job Information
SanDisk Staff Data Scientist – AI/ML, Generative AI & Agentic Systems in Milpitas, California
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, 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.
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, 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.
Additional Information
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) ” poster. Our pay transparency policy is available here (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be 06/16/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
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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.