Vision System Data Science Engineer

Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

• Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
• Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
• Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
• Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
• Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
• Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
• Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
• Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.
• Translate analytical insights into standardized current best-known methods (cBKM) to enable scalable and sustainable business impact.
• Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices.
• Process, structure, and analyze large-scale datasets while optimizing data pipelines, databases, and data architectures to support advanced analytics.
• Communicate complex analytical results and recommendations to technical and non-technical stakeholders, enabling data-informed decision-making.
• Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization.

Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a related field. Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience. Proven experience developing, deploying, and managing predictive maintenance or machine learning models in production environments. Strong expertise in Docker and containerized application deployment. Project management skills. Experience with large-scale data processing, data modeling, data warehousing, and data engineering concepts. Strong presentation and data visualization skills. Excellent verbal and written communication skills in English.

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