Data Scientist

About the role

Design and implement computer vision systems and deep learning models for object detection, image segmentation, anomaly detection, and automated inspection. Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion to solve manufacturing and environmental monitoring challenges. Deploy data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.

Key responsibilities

• Design and implement computer vision systems and deep learning models for object detection, image segmentation, anomaly detection, and automated inspection, including experience with cameras and vision inspection systems

• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges

• Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for product improvement

• Interact with product and service teams to identify questions and issues for data analysis and experiments

• Deploy data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring

• Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers

About you

• Degree in Computer Science, Statistics, or Data Science with minimum of 3 years of data science experience

• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques

• Experience in semiconductor yield analysis and process optimization (e.g analyzing FDC, SPC, Probe data)

• Minimum of 3 years experience in computer vision and deep learning in image analytics with good understanding of image processing techniques

• Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)

• Proficiency with web development such as Angular, FastAPI, Docker

• Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL, C++

• Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences

• Excellent problem-solving skills

• Able to work independently and collaborate effectively with diverse teams