Quick summary
- Work type
- Hybrid
- Location
- Tualatin, OR
- Posted
- 115 days ago
- Closes
- Aug 10, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $162,000–$234,037.
Based on 240 similar postings.
Employer
About Lam Research
Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.
Lam Research currently has 266 open roles on FindRole.
Listed pay typically runs $114,000–$231,000 across 131 roles with salary data.
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At a glance
TL;DR · Careers
Lam Research seeks a Performance Data Scientist to join its Global Quality team at an individual contributor level, focusing on leveraging common data to prioritize and resolve critical quality issues impacting customers and business objectives. This role involves analyzing trends in quality data, developing predictive models and metrics, and fostering the use of Cost of Quality within the company through advanced analytics. The ideal candidate will have 5-7 years of continuous improvement experience, preferably in the semiconductor industry, with expertise in statistics, machine learning, and AI solutions. Proficiency in Python, R, or MATLAB is essential, along with skills in Quickbase and Power BI development, Lean Six Sigma methodologies, and strong executive-level presentation abilities.
What you'll do
- Analyze quality data to identify trends and patterns for required improvements.
- Develop performance management tools and predictive models using advanced analytics.
- Enhance utility of Cost of Quality by correlating various data sources and identifying causal relationships.
- Improve reliability tracking, problem resolution, and real-time defect determination through AI and automation.
- Create accountability across the company for quality data analysis and action.
What we're looking for
- 5+ years of continuous improvement experience with analytical work, project management, and business analysis.
- Bachelor’s degree in engineering, quality, computer science, or related field; Master’s preferred.
- Strong expertise in advanced statistics, multivariate modeling, machine learning, and physical/electro-mechanical systems modeling.
- Demonstrated success implementing AI solutions to drive organizational efficiency and effectiveness.
- Proven leadership in overseeing large, complex programs from discovery through implementation for internal and external stakeholders.
- Proficiency in Python, R, MATLAB or similar programming environments; knowledge of Lean Six Sigma, statistics, quality systems.
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