Data Contributor Jobs at Lam Research with Visa Sponsorship
Data Contributor jobs at Lam Research sit at the intersection of semiconductor manufacturing and data infrastructure, supporting the systems that drive process control and equipment analytics. Lam Research has a consistent track record of sponsoring international talent across engineering and data functions, making it a realistic target for visa-dependent candidates.
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Get Access To All JobsINTRODUCTION
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
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You will develop algorithms and automated processes to evaluate large data sets from disparate sources, enabling informed, data-driven decisions across the organization.
In this role, you will leverage your computer science expertise and experience working with large-scale data to solve real-world scientific and engineering challenges in cutting-edge semiconductor manufacturing and research. Your work will directly impact how complex problems are understood, diagnosed, and solved in highly advanced processing environments.
This role requires a strong curiosity for how physical systems behave and a motivation to apply data science methods to uncover underlying mechanisms. You will work at the intersection of data, science, and engineering, helping translate complex data into meaningful insights that drive both immediate problem-solving and long-term innovation.
ROLE AND RESPONSIBILITIES
This position is for a Data Scientist within the Selective Etch Product Group, part of the Global Product Group, based in Fremont, CA. The team supports existing products in the field and plays a critical role in the development and market introduction of new selective etch technologies.
In this role, the Data Scientist will analyze large and complex data sets and develop advanced analytics algorithms to support Lam’s Selective Etch equipment. The work directly enables faster problem resolution, improved product reliability, and data-driven decision-making across engineering teams.
Key responsibilities include:
-
Customer Escalations & Root Cause Analysis
When addressing a customer escalation, the Data Scientist will partner closely with subject matter experts to understand the problem, identify available data, perform quantitative analysis, interpret results, and clearly communicate insights to the broader engineering team. -
Analytics Tools & Applications
Develop analytics applications with intuitive, user-friendly interfaces that enable engineers—without programming expertise—to diagnose and troubleshoot similar issues efficiently in the future. -
Predictive Analytics & Failure Prevention
Design and implement algorithms that identify trends and signals in tool and process data to help predict potential failures before they occur, improving uptime and customer confidence.
BASIC QUALIFICATIONS
- Bachelor’s degree + 2 years experience or Master's degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
- Strong foundation in data analysis, statistical modeling, and machine learning, with the ability to apply these methods to real-world engineering problems.
- Hands-on experience programming in Python (required), including common data science libraries (e.g., NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar).
- Experience working with large, noisy, and heterogeneous datasets, including data cleaning, feature extraction, and validation.
- Ability to translate ambiguous problem statements into well-defined analytical approaches and actionable insights.
- Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise.
PREFERRED QUALIFICATIONS
- Experience applying data science techniques in complex industrial environments.
- Familiarity with equipment health monitoring, fault detection and classification (FDC), predictive maintenance, or time-series analysis.
- Experience developing analytics tools or applications with user-friendly interfaces (e.g., dashboards, internal web apps, or visualization tools) for non-programmers.
- Knowledge of SQL, data pipelines, or working with structured and unstructured production data sources.
- Experience with cloud-based or distributed computing environments is a plus.
- Understanding of experimental design, root-cause analysis, or process characterization in a hardware-driven environment.
- Ability to balance quick-turn analysis for escalations with longer-term, robust algorithm development.
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.
SALARY
CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
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.
INTRODUCTION
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
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You will develop algorithms and automated processes to evaluate large data sets from disparate sources, enabling informed, data-driven decisions across the organization.
In this role, you will leverage your computer science expertise and experience working with large-scale data to solve real-world scientific and engineering challenges in cutting-edge semiconductor manufacturing and research. Your work will directly impact how complex problems are understood, diagnosed, and solved in highly advanced processing environments.
This role requires a strong curiosity for how physical systems behave and a motivation to apply data science methods to uncover underlying mechanisms. You will work at the intersection of data, science, and engineering, helping translate complex data into meaningful insights that drive both immediate problem-solving and long-term innovation.
ROLE AND RESPONSIBILITIES
This position is for a Data Scientist within the Selective Etch Product Group, part of the Global Product Group, based in Fremont, CA. The team supports existing products in the field and plays a critical role in the development and market introduction of new selective etch technologies.
In this role, the Data Scientist will analyze large and complex data sets and develop advanced analytics algorithms to support Lam’s Selective Etch equipment. The work directly enables faster problem resolution, improved product reliability, and data-driven decision-making across engineering teams.
Key responsibilities include:
-
Customer Escalations & Root Cause Analysis
When addressing a customer escalation, the Data Scientist will partner closely with subject matter experts to understand the problem, identify available data, perform quantitative analysis, interpret results, and clearly communicate insights to the broader engineering team. -
Analytics Tools & Applications
Develop analytics applications with intuitive, user-friendly interfaces that enable engineers—without programming expertise—to diagnose and troubleshoot similar issues efficiently in the future. -
Predictive Analytics & Failure Prevention
Design and implement algorithms that identify trends and signals in tool and process data to help predict potential failures before they occur, improving uptime and customer confidence.
BASIC QUALIFICATIONS
- Bachelor’s degree + 2 years experience or Master's degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
- Strong foundation in data analysis, statistical modeling, and machine learning, with the ability to apply these methods to real-world engineering problems.
- Hands-on experience programming in Python (required), including common data science libraries (e.g., NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar).
- Experience working with large, noisy, and heterogeneous datasets, including data cleaning, feature extraction, and validation.
- Ability to translate ambiguous problem statements into well-defined analytical approaches and actionable insights.
- Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise.
PREFERRED QUALIFICATIONS
- Experience applying data science techniques in complex industrial environments.
- Familiarity with equipment health monitoring, fault detection and classification (FDC), predictive maintenance, or time-series analysis.
- Experience developing analytics tools or applications with user-friendly interfaces (e.g., dashboards, internal web apps, or visualization tools) for non-programmers.
- Knowledge of SQL, data pipelines, or working with structured and unstructured production data sources.
- Experience with cloud-based or distributed computing environments is a plus.
- Understanding of experimental design, root-cause analysis, or process characterization in a hardware-driven environment.
- Ability to balance quick-turn analysis for escalations with longer-term, robust algorithm development.
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.
SALARY
CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
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.
See all Data Contributor Jobs at Lam Research
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at Lam Research.
Get Access To All JobsTips for Finding Data Contributor Jobs at Lam Research
Align Your Portfolio to Semiconductor Data Workflows
Lam Research's Data Contributor roles focus on equipment telemetry, process data pipelines, and yield analytics. Before applying, tailor your portfolio to show experience with time-series data, sensor data ingestion, or manufacturing execution system integrations rather than general analytics work.
Target Roles Flagged for Sponsored Positions
Use Migrate Mate to filter Data Contributor openings at Lam Research by visa sponsorship availability, so you're only spending time on postings where international candidates are actively considered, not just theoretically eligible.
Verify Your OPT Timeline Against Lam Research's Hiring Cycle
F-1 OPT gives you 12 months of work authorization, with a potential 24-month STEM extension. Lam Research's hiring cycles for technical roles often run 8 to 12 weeks from application to offer, so map your authorization expiry against that window before applying.
Prepare for a Labor Condition Application Before Your Start Date
For H-1B sponsorship, Lam Research must file a Labor Condition Application with the DOL before your petition reaches USCIS. Understanding that this step precedes your I-129 filing helps you set realistic start date expectations with your hiring manager during offer negotiations.
Differentiate Yourself Through Fab-Adjacent Data Experience
Candidates who can reference experience with data systems adjacent to chip fabrication, such as statistical process control outputs, defect classification datasets, or equipment log parsing, move faster through Lam Research's technical screening than those with only enterprise or web analytics backgrounds.
Clarify Sponsorship Scope During the Offer Stage
Some employers sponsor H-1B status but stop short of supporting Green Card filings through PERM. Ask directly whether Lam Research's sponsorship package for Data Contributors includes EB-2 or EB-3 green card processing, and get confirmation in writing before accepting an offer.
Frequently Asked Questions
Does Lam Research sponsor H-1B visas for Data Contributors?
Yes, Lam Research sponsors H-1B visas for Data Contributor roles. The company has a consistent history of filing H-1B petitions across its engineering and data functions. Because the H-1B is subject to an annual cap and lottery, timing your application cycle correctly matters. Most candidates on F-1 OPT or a prior H-1B visa transfer are the strongest near-term fits for these roles.
How do I apply for Data Contributor jobs at Lam Research?
Applications go through Lam Research's careers portal at lamresearch.com/careers. Before applying, confirm the posting explicitly mentions visa sponsorship or that the role falls within a function where Lam Research has historically sponsored. Migrate Mate surfaces Lam Research Data Contributor openings filtered by sponsorship eligibility, which saves you from applying to roles where international candidates aren't being considered.
Which visa types are commonly used for Data Contributor roles at Lam Research?
H-1B is the primary long-term work visa for Data Contributors at Lam Research, given the role's specialty occupation requirements. F-1 OPT and STEM OPT extension are common entry points for recent graduates. TN visas apply for Canadian and Mexican nationals in qualifying data roles. For permanent residence, Lam Research has supported EB-2 and EB-3 pathways through PERM labor certification.
What qualifications does Lam Research expect for Data Contributor roles?
Lam Research typically expects a bachelor's degree or higher in computer science, data engineering, statistics, or a related technical field. Hands-on experience with SQL, Python, and data pipeline tooling is standard. Familiarity with manufacturing or semiconductor data environments, such as equipment log analysis, process control datasets, or yield metrics, meaningfully strengthens your application over candidates with only commercial or web analytics backgrounds.
How do I understand the timeline from offer to work authorization at Lam Research?
If you're transitioning from F-1 OPT to H-1B, USCIS standard processing runs several months after the April lottery. Premium processing reduces the adjudication window to 15 business days but doesn't accelerate the Labor Condition Application that DOL must certify first. Plan for a gap between offer acceptance and your authorized start date, and confirm with Lam Research's HR team whether they use premium processing for Data Contributor petitions.