Senior Data Scientist — AI for Smart Manufacturing

Micron; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron is transforming semiconductor manufacturing through data, AI, and advanced analytics. As a Senior/Staff Data Scientist, you will leverage large data assets to develop predictive models, derive actionable insights, and drive intelligent decision-making across global operations.

You will collaborate with world-class engineers, data scientists, and business leaders to solve real-world challenges using ML, statistics, and analytics.

Qualifications

• Bachelor's/Master's/PhD in a quantitative field with 5–8 years in Data Science/AI.
• Proven experience deploying statistical models and predictive analytics solutions to business/manufacturing problems.
• Experience with SQL and large-scale data processing; strong programming skills to build scalable analytics solutions.

Responsibilities

• Collaborate with cross-functional teams to identify data-driven opportunities and process improvements.
• Analyze large datasets to uncover trends and actionable insights that drive business value.
• Develop, validate, and deploy ML models and predictive analytics solutions for manufacturing and business challenges.
• Lead moderately complex analytics projects from problem definition through deployment and adoption.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Statistical modeling

Machine learning

Python

SQL

Data analysis

Communication

Team collaboration

Education

Bachelor's/Master's/PhD in Data Science or related

Tools

PySpark

Spark

Hadoop

Hive

Tableau

Job description

Micron is transforming semiconductor manufacturing through data, AI, and advanced analytics. As a Senior/Staff Data Scientist, you will leverage large data assets to develop predictive models, derive actionable insights, and drive intelligent decision-making across global operations.

You will collaborate with world-class engineers, data scientists, and business leaders to solve real-world challenges using ML, statistics, and analytics.