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# Data Scientist 4

- **Company:** Lam Research International Holding Company
- **Location:** Tualatin, OR, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Training Data, Computer Simulation, Python (Programming Language), Machine Learning, Commercial Software, Scientific Computating, Software Engineering, High Performance Computing, Surrogate Models, Gaussian, Core Data, Information Technology, Optimization Algorithms, Slurm
- **Published:** October 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18509293?backUrl=%2Fcareer%2F18509293%2FData-Scientist-4-Oregon-Tualatin

## About the Role

* Education & Experience: Master's degree with 6+ years of relevant experience, or Ph.D. with 3+ years in Physics, Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
 * Hands-on Data Science & ML: Demonstrated ability to build, train, evaluate, and tune machine learning models end-to-end on real-world datasets, backed by solid foundations in statistics and core ML algorithms.
 * Scientific Machine Learning: Experience building surrogate models, physics-aware ML architectures, or optimization algorithms (e.g., Bayesian optimization, Gaussian processes).
 * Physics & Simulation Background: Strong understanding of physical sciences (e.g., transport phenomena, kinetics, or semiconductor process/device physics) and comfort working with numerical simulation data.
 * Software Engineering & Problem Solving: Strong Python programming skills, comfortable solving algorithmic problems and writing modular, testable, and maintainable code., * Professional or academic experience within the semiconductor industry, semiconductor processing, or device physics.
 * Familiarity with multi-physics solvers, numerical simulation tools, or scientific computing pipelines.
 * Experience with HPC environments, workload schedulers (e.g., SLURM), or distributed compute.

## Description

We are looking for a senior Data Scientist to join our team at the intersection of computational physics and machine learning. In this role, you will own the development of surrogate models, virtual twins, and optimization workflows end-to-end: from designing numerical experiments and generating synthetic data to deploying clean, maintainable Python code into our commercial software.
What you'll do

 * Build and scale physics-aware machine learning models and surrogate models to accelerate complex multi-physics and process simulations.
 * Apply core data science, statistical analysis, and machine learning methods across both simulated and experimental datasets.
 * Implement optimization algorithms, such as Bayesian optimization and active learning, to accelerate process design and calibration.
 * Run simulations to generate training data and design effective sampling strategies for model development.
 * Write robust, production-quality Python code following modern software engineering practices.
 * Collaborate closely with computational physicists, semiconductor process engineers, and software developers to turn complex physics problems into practical ML solutions.