Data Scientist

The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam’s etch and deposition products. We drive innovation to ensure our cutting‑edge solutions are helping to solve the biggest challenges in the semiconductor industry.

Lam Research is looking for a Performance Data Scientist in Lam’s Global Quality organization. This role will partner with the Field/Factory Business Process Quality Manager, Global Quality peers and leaders across the company to identify through the use of common data to effectively prioritize and resolve the largest quality issues in the company impacting our customers and limiting our ability to meet both short and term business objectives.

This role will have a high‑profile presence within the organization and will be able to contribute and make a difference in the quality performance and culture through knowledge, leadership and influence within the company and ultimately delivering required improvement to our valued customers and internal functions.

• 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.

• 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.

• 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.

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