Senior Staff Data Science Engineer

Develop advanced machine learning, statistical, and optimization models to solve complex business and engineering problems

Apply end-to-end data science rigor : problem framing, feature engineering, modeling, validation, and impact measurement

Work with large-scale datasets (e.g., process, yield, test, operational data) to derive actionable insights

Integrate domain knowledge (semiconductor/NAND processes, constraints, variability) directly into model design and interpretation

Design and deploy GenAI solutions (LLMs, RAG pipelines, agent-based systems) for engineering and operational use cases

Build knowledge-driven systems leveraging enterprise data (documents, logs, process data)

Develop evaluation frameworks to ensure quality, grounding, and reliability of GenAI outputs

Apply GenAI to enable decision support, automation, and productivity at scale

Architect production-grade AI/ML systems , including: Data pipelines and feature engineering frameworks Model training and experimentation platforms Real-time and batch inference systems

Data pipelines and feature engineering frameworks

Model training and experimentation platforms

Real-time and batch inference systems

Design systems that balance accuracy, scalability, latency, and cost efficiency

Establish patterns for integrating AI into existing enterprise platforms and workflows

Build and scale MLOps pipelines (CI/CD, model registry, monitoring, drift detection)

Ensure reproducibility, observability, and governance of AI systems

Lead efforts to operationalize models into reliable, maintainable production systems

Partner with cross-functional teams (engineering, manufacturing, product, IT) to translate requirements into solutions

Mentor engineers and data scientists in advanced modeling, system design, and GenAI capabilities

Master’s degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field

8–12+ years of experience in AI/ML engineering, data science, or related domains

Strong expertise in: Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn) Statistical modeling, experimentation, and data science methodologies Scalable ML system design and production deployment

Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Statistical modeling, experimentation, and data science methodologies

Scalable ML system design and production deployment

Proven track record of delivering production-grade AI/ML systems with measurable business impact

PhD in a relevant field (e.g., Machine Learning, AI, Statistics, Operations Research, Electrical Engineering) with significant industry experience

Deep experience applying AI/ML in complex, real-world systems (e.g., semiconductor, manufacturing, or large-scale operational environments)

Hands-on experience with: Generative AI / LLM systems (RAG, prompt engineering, evaluation frameworks, fine-tuning) MLOps platforms (MLflow, Azure ML, Kubeflow, or equivalent) Distributed data platforms (Spark, Databricks)

Generative AI / LLM systems (RAG, prompt engineering, evaluation frameworks, fine-tuning)

MLOps platforms (MLflow, Azure ML, Kubeflow, or equivalent)

Distributed data platforms (Spark, Databricks)

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate 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 Equal Employment Opportunity is the Law poster.

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 [email protected] 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.