Lead Data Scientist for Smart Manufacturing & AI

HOYA Electronics; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

HOYA Electronics Singapore Pte Ltd is seeking a lead Data Scientist to build and scale data‑driven capabilities across our manufacturing operations. This is a new foundational role responsible not only for delivering high‑impact analytics and machine learning solutions, but also for helping establishing the data science function, standards, and roadmap.

As the first data science hire in the region, you will play a critical role in driving digital transformation across wafer fabrication,

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field.
• 5–8+ years of experience in data science or machine learning (experience in semiconductor or manufacturing strongly preferred).
• Strong programming skills in Python, R (or similar).
• Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch, etc.).
• Expertise in data analysis, statistical process control, and experimental design (e.g. DOE).
• Knowledge and experience with time‑series analysis (sensor, machine data); predictive maintenance models, and process optimization frameworks.
• Experience working with large datasets and data wrangling.
• Detail‑oriented with strong analytical and problem‑solving skills.
• Able to communicate effectively across functions and work well with different departments.

Responsibilities

• Define and execute the data science and AI strategy aligned with business priorities by partnering with process, equipment, and integration engineering teams to operationalize insights and drive adoption of data-driven decisions.
• Establish best practices for data collection, preparation, modeling, and deployment including development of scalable data pipelines for ingestion, transformation, and integration of manufacturing, sensor, and tool data.
• Develop models to solve manufacturing challenges, such as: Predictive maintenance, Yield/quality optimization, Demand forecasting, Process optimization.
• Apply statistical analysis, machine learning, and AI techniques to generate actionable insights.
• Drive AI/ML Adoption in Manufacturing using existing internal tools and identifying additional platform to Industrial IoT analytics, Computer vision, and Optimization algorithms for scheduling.
• Define success metrics (yield improvement, cycle time reduction, equipment uptime, cost savings) and track measurable ROI of data science initiatives.
• Design, deploy, and maintain production‑grade machine learning models (MLOps), including monitoring model performance, drift detection, and lifecycle management.

Skills

Python

R

Machine learning

Data analysis

Manufacturing knowledge

Stakeholder engagement

MLOps

Time-series

SQL

Communication

Education

Bachelor’s or Master’s in Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

Job description

HOYA Electronics Singapore Pte Ltd is seeking a lead Data Scientist to build and scale data‑driven capabilities across our manufacturing operations. This is a new foundational role responsible not only for delivering high‑impact analytics and machine learning solutions, but also for helping establishing the data science function, standards, and roadmap.

As the first data science hire in the region, you will play a critical role in driving digital transformation across wafer fabrication,