Data Scientist 3

Lam Research • Fremont, CA

1d • $99,000 - $220,000 • Hybrid

About The Position

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.

Requirements

• Ph.D. in Statistics, Computational Physics, Computer Science, or Applied Mathematics.
• Strong proficiency with Python (NumPy, SciPy, Pandas, scikit‑learn, etc.).
• Demonstrated experience with advanced image processing (e.g., OpenCV, scikit-image, deep learning–based methods).
• Solid foundation in machine learning, statistical inference, and scientific computing.
• Experience working with large, complex data sets.
• Strong analytical and problem‑solving skills, particularly in complex technical domains.
• Ability to collaborate in cross‑functional teams and communicate complex concepts clearly.

Nice To Haves

• Experience with physics‑based machine learning and Bayesian statistics is a plus.

Responsibilities

• Develop machine learning models, statistical algorithms, and data‑driven frameworks to analyze engineering, sensor, metrology, and equipment telemetry data.
• Conduct advanced image processing and computer vision analysis on wafer, chamber, or process images to derive meaningful features and insights.
• Apply Bayesian optimization to accelerate engineering workflows, experimental design, and process parameter tuning.
• Build scalable data pipelines to integrate structured and unstructured data sources.
• Perform exploratory data analysis, feature engineering, uncertainty quantification, and model validation.
• Partner with engineers and domain experts to translate physics‑ or chemistry‑based phenomena into analytic or computational models.
• Deploy and maintain production‑level analytical solutions and monitor their long-term performance.
• Visualize results effectively and communicate findings to both technical and non-technical stakeholders.
• Use sound statistical design principles (DOE, hypothesis testing, modeling assumptions) to guide experimentation and decision‑making.
• Contribute to best practices in version control, documentation, reproducibility, and model governance.

Benefits

• At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees