Data Scientist

HOYA Electronics primary focus is on the development of optical and extreme ultraviolet (EUV) photomask blanks, which are critical components in the manufacturing process of the latest-generation chips used in various applications such as artificial intelligence, high-performance computing, and 5G, as well as the production of various memory, logic, and power devices.

Life at HOYA Electronics

HOYA strives to create innovations for a better future for people.

At HOYA Electronics, we are dedicated to innovation in the information technology segment, envisioning a world where all can thrive in harmony with nature. Our people are guided by our mission along with principles of commitment and innovation, influence every decision and action we take. We prioritize environmental protection, safety, and human rights, fostering diversity, inclusion, and employee well-being.

Be Empowered to Innovate and Develop for a Better Tomorrow with Us

• Experience an empowering and inclusive workplace that fuels your growth and development.
• Unlock your potential with abundant opportunities for skill-building and career advancement.
• Thrive in an environment that supports work-life balance and values your well-being.
• Receive fair and competitive rewards – your success is our success.
• We believe in recognizing excellence and celebrating your contributions.

Get to Know the Role

We are 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, assembly, and test operations. This role requires a balance of deep technical expertise, manufacturing domain awareness, and strong stakeholder engagement across multiple fabs and business units. You will deliver high-impact use cases while building a scalable data science foundation to support smart manufacturing, yield improvement, and operational excellence

Essential 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

Other Responsibilities

• Promote a data-driven culture across the organization
• Identify and advocate for scalable data platforms and tools (cloud, IoT, edge analytics where applicable)
• Collaborate with IT engineering to: (i) Define data architecture and pipelines; and (ii) Improve data quality and accessibility

Skills and Competencies Profile

• 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

HOYA Electronics Singapore Pte Ltd is an equal opportunity employer. We are committed to building diverse teams and creating a safe and inclusive workplace that enables our people to perform at their best, regardless of nationality, ethnicity, religion, disability status,age, gender identity or sexual orientation, and other attributes that make every individual unique. An offer with HOYA Electronics Singapore is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. HOYA Electronics Singapore does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with HOYA Electronics Singapore.