Lam Research · 13 hours ago
Data Scientist 4
Tualatin, OR
Full-time
Hybrid
Senior Level
5+ years expLam Research is dedicated to excellence in the design and engineering of etch and deposition products for the semiconductor industry. They are seeking a Performance Data Scientist to drive quality improvement initiatives and enhance data utilization within the organization.
SemiconductorRenewable EnergyManufacturingCleanTech
Responsibilities
Improve quality performance consistently from awareness, prioritization and action through the availability of common data
Analyze trends and patterns in quality data that drive required quality improvement
Develop tools, metric measurement and assessment methods for performance management and predictive modeling
Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network
Reliability tracking and improvement and problem resolution
Improve data utilization via AI, automation and improve defect determination leading to real time resolution and speeding systemic action
Create accountability for corporate-wide quality data analysis and action
Lead and/or advise on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies
Qualification
Required
5–7+ years of continuous improvement experience, including analytical work, project management, and business analysis
Bachelor's degree in engineering, quality, computer science, or related field; Master's preferred
Semiconductor industry experience
Strong expertise in advanced statistics, multivariate modeling, machine learning, and modeling of physical/electro‑mechanical systems
Demonstrated success implementing AI solutions that drive efficiency and effectiveness across the organization
Ability to define problem statements, set objectives, design analytical approaches, and execute analyses/experiments
Proven leadership overseeing large, complex programs from discovery through implementation and support for internal and external stakeholders
Skilled at influencing within a fast‑paced, cross‑functional, matrixed environment
Excellent communication, collaboration, interpersonal, and influencing skills
Proficiency in Python, R, MATLAB, or similar programming environments
Knowledge of Lean Six Sigma, statistics, and quality systems
Ability to manage multiple projects simultaneously
Experience with Quickbase and Power BI development
Strong executive‑level presentation skills
Outstanding people skills and effectiveness in matrix organizations
Preferred
Demonstrated success in using structured problem-solving methodologies and quality tools to solve complex problems
Command over quality tools such as Pareto FMEA /Fault tree diagram/Fish bone diagram etc
Willingness to adapt best practices via benchmarking
Knowledge of programming environments such as Python, R, Matlab, or equivalent
Six Sigma certification (Green Belt or higher)
Advanced expertise in structured problem-solving methodologies (PDCA, DMAIC, 8D) and quality tools
Experience in semiconductor capital equipment industry
Experience in Statistical Process Control (SPC), Gage R&R, Pareto Charts etc. using tools like JMP, Minitab
Company
Lam Research
Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.
10001+ employees
H1B Sponsorship
Lam Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (239)
2023 (170)
2022 (216)
2021 (242)
2020 (182)
Funding
Current Stage
Public CompanyTotal Funding
unknown1984-05-11IPO
Leadership Team
Tim Archer
President and CEO
Rick Gottscho
Exec VP and CTO
Recent News
Business Standard India
2026-02-09
The Motley Fool
2026-02-08
2026-02-03
Company data provided by crunchbase