Job description
Overview
We are partnering with a leading global technology company in the semiconductor industry to hire a Senior Data Scientist.
This role focuses on applying data science, machine learning, and optimization techniques to improve manufacturing efficiency, production yield, and operational performance in a highly complex, data-rich environment.
Key Responsibilities
- Analyze large-scale operational and manufacturing datasets to identify trends and improvement opportunities
- Develop and deploy machine learning models to enhance performance, quality, and efficiency
- Build and maintain data pipelines to integrate and process data from multiple sources
- Design and implement simulation models (e.g. digital twin environments) to optimize workflows, scheduling, and resource allocation
- Work with 3D simulation platforms (e.g. Omniverse or similar) to model and improve real world systems
- Collaborate with engineering, operations, and business stakeholders to translate requirements into scalable data solutions
- Communicate insights and recommendations to both technical and non-technical audiences
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field
- Strong programming skills in Python and experience with SQL
- Hands-on experience in machine learning, statistical modeling, and data analysis
- Exposure to optimization techniques (e.g. linear programming, operations research) or simulation is highly preferred
- Experience working with large and complex datasets in a production environment
- Strong problem-solving skills and ability to translate business problems into analytical solutions
- Good communication skills and experience working with cross-functional stakeholders
