Vision System Data Scientist for Semiconductors

Lam Research Salzburg GmbH; Villach; Hybrid; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Lam Research in Villach, Austria, invites a Data Scientist to design, develop, and deploy methods that turn unstructured big data into actionable insights. You will build algorithms, pipelines, and ML models using Python, CV, and cloud technologies to enable data-driven decisions.

Collaborate with process, software, hardware, and product teams; mentor juniors; translate insights into scalable methods and cBKM; contribute to Industry 4.0 initiatives and advance AI in semiconductor manufacturing.

Qualifikationen

• Degree in Data Science, Computer Science, or related field.
• Minimum 5 years of related experience in data science or ML roles.
• Experience deploying predictive maintenance or ML models in production.
• Strong English communication and collaboration skills.

Aufgaben

• Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
• Build scalable ML models using image, video, and multimodal sensor data.
• Lead the data science lifecycle: data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
• Develop robust image-processing pipelines with modern CV frameworks and cloud technologies.
• Collaborate with process, software, hardware, and product teams to deliver integrated vision solutions.
• Conduct root-cause analysis and use advanced analytics to improve yield and equipment performance.
• Mentor junior engineers and share best practices in data science and ML.
• Translate analytical insights into scalable methods to enable business impact.

Kenntnisse

Data Science

Python

Machine Learning

Computer Vision

Docker

Data Visualization

Ausbildung

Bachelor's or Master's in Data Science or related field

Tools

Docker

Cloud Platforms

Jobbeschreibung

Lam Research in Villach, Austria, invites a Data Scientist to design, develop, and deploy methods that turn unstructured big data into actionable insights. You will build algorithms, pipelines, and ML models using Python, CV, and cloud technologies to enable data-driven decisions.

Collaborate with process, software, hardware, and product teams; mentor juniors; translate insights into scalable methods and cBKM; contribute to Industry 4.0 initiatives and advance AI in semiconductor manufacturing.