Staff Engineer, Data Science, Supply Chain Optimization

Sandisk; Seberang Perai; On-site; MYR 80,000 - 110,000; Full time

Job summary

A leading semiconductor company in Malaysia seeks a Staff Engineer in Data Science to lead supply chain optimization initiatives. The role involves designing predictive models to improve inventory management and collaborating with various teams to identify data-driven business solutions. Ideal candidates have a Bachelor's or Master's degree in Industrial Engineering, at least 5 years of relevant experience, and expertise in Python and SQL. This position offers competitive compensation and opportunities for professional growth.

Qualifications

• 5 years of experience in data science or analytics, focusing on production planning.
• Strong communication and stakeholder engagement skills.
• Experience in semiconductor or electronics manufacturing environments is preferred.

Responsibilities

• Design and implement predictive models to optimize inventory levels.
• Collaborate with cross‑functional teams to solve business challenges using data.
• Analyze datasets to uncover insights related to demand forecasting.
• Develop and maintain analytical tools for real‑time supply chain decisions.

Skills

Python Programming

Google OR-Tools

PuLP

Gurobi

CPLEX

Data Science & Analytics

Docker containers management

Data visualization tools

Collaboration

Education

Bachelors or Masters degree in Industrial Engineering or related field

Tools

Python

SQL

Plotly Dash

streamlit

Power BI

Tableau

Job description

Staff Engineer, Data Science, Supply Chain Optimization

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

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

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***************@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.

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 **********@sandisk.com.

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