Data Scientist 4

SupportFinity™; Tualatin (OR); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits

Job summary

Lam Research is seeking a Performance Data Scientist to join its Global Quality organization. The role partners with field/factory quality leaders to identify and prioritize quality issues using common data, driving improvements that impact customers and business objectives.

You will analyze quality data trends, develop predictive models, and advance Cost of Quality through integration of data sources, AI and automation.

Qualifications

• 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.

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.

Skills

Python

R

MATLAB

Machine learning

Statistics

Lean Six Sigma

Quality systems

Power BI

Quickbase

Presentation skills

Education

Bachelor's degree in engineering, quality, computer science, or related field

Master’s degree preferred

Tools

JMP

Minitab

Job description

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.

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.

The impact you’ll make

Lam Research is looking for a Performance Data Scientist in Lam’s Global Quality organization. This individual will partner with the Field/Factory Business Process Quality Manager, Global Quality peers and leaders across the company to identify through the use a 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.

What You’ll Do

• -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.

Who We’re Looking For

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 Qualifications

• -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.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on‑site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Our Perks And 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.

About the company

Lam Research