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Staff Data Scientist — Supply Chain Optimization

Sandisk

Seberang Perai

On-site

MYR 80,000 - 110,000

Full time

3 days ago
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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
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.
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