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 looking for a Staff Engineer in Data Science to join our team and lead initiatives focused on production scheduling, supply chain, and inventory optimization. This role will be instrumental in applying advanced analytics to improve operational efficiency, reduce costs, and enhance decision-making across global supply chain functions.

Essential Duties And Responsibilities

Design and implement predictive models to optimize inventory levels, reduce excess stock, and improve service levels.
Collaborate with cross-functional teams including production planner, supply chain, operations, and finance to identify and solve business challenges using data-driven approaches.
Analyze large-scale datasets to uncover actionable insights related to demand forecasting, supplier performance, and logistics.
Develop and maintain dashboards and analytical tools to support real-time supply chain decisions.
Contribute to scheduling and production planning systems development while expanding focus into broader supply chain domains.

Qualifications

REQUIRED:

Bachelors or Masters degree in Industrial Engineering, or related field.
5 years of experience in data science or analytics, with a strong focus on production planning, supply chain or inventory optimization.
Proficiency in Python, SQL, and data visualization tools (e.g., Plotly Dash, streamlit, Power BI, Tableau).
Experience with machine learning frameworks and optimization algorithms.
Strong communication and stakeholder engagement skills.

Preferred

Experience in semiconductor or electronics manufacturing environments.
Familiarity with ERP systems and supply chain planning tools.
Knowledge of simulation modeling and scenario analysis.

Skills

Python Programming: Advanced coding skills for data analysis, modeling, and automation.
Hands-on experience with Google OR-Tools, PuLP, and preferably Gurobi or CPLEX.
Strong understanding of linear programming, integer programming, and constraint optimization.
Data Science & Analytics: Data wrangling, statistical analysis, and predictive modeling.
Ability to create and manage Docker containers for deployment on servers or edge devices.
Familiarity with Docker Compose and container orchestration concepts.
Skilled in creating and delivering impactful presentations for quarterly reports.
Familiarity with data visualization tools (Power BI, Tableau, or Python visualization libraries).
Collaboration: Comfortable working in cross-functional teams and managing stakeholder expectations.

Additional Information

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 [HIDDEN TEXT] 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.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [HIDDEN TEXT].

Staff Engineer, Data Science, Supply Chain Optimization