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Lam Research Salzburg GmbH

Data Scientist 3

boise, ID

Check who can apply and the requirements below before continuing.

About this opportunity

Lam Research Salzburg GmbH lists this Data Scientist 3 opportunity in boise, Idaho. Review the employer’s description below for duties, qualifications and application requirements.

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Data Scientist 3

Date: Jul 29, 2026

Location: Boise, ID, US, 83709

Worker Category: On-site

The group you’ll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customersupport throughout their lifecycle with Lam. We drive performance, productivity, safety, andquality of customers installed base performance and deliver service and lifecycle solutionsfor their most critical equipment and processes.

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'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

What you’ll do

EI Application Technical Support (EIDH-Resident Apps)

IBP Apps (AutoTRD, MATH, ARC, PPD, SRC)

EI-DA2.x / EI-DAe

EI Discovery / Data Explorer

All Additional Developed Applications (JupyterLab-Python)

Monitor, support, and maintain all EI applications deployed on EIDH clusters

Perform application health checks and first-level troubleshooting

Support EI application upgrades and validation

Coordinate issue resolution with EI Dev, Product, and Global Support teams

Validate application functionality after cluster or data pipeline changes

Reporting, Startup & Account Team Support

Support system startups (new clusters, tools, chambers)

Help define and track startup readiness metrics

Facilitate creation of reports required by Account Teams for:New Lam Tool installations

Expansion phases

Customer reviews

Training, Enablement & Knowledge Sharing

LamAutoArchiver & LamArchiver Tool Software

All EI Applications

Chamber process fundamentals

Process control and data set structures

Maintain working knowledge across tool, chamber, and EI data domains

Act as local EI subject matter expert (SME)

Support internal training and knowledge sharing when needed

Stakeholder & Cross-Functional Engagement

Act as Lam EI voice to customers

Maintain active engagement with customer’s IT and Data Science/Analytics teams

Provide structured feedback to Lam EI Dev and Product teams on:Feature gaps

Operational pain points

Scalability concerns

Contribute to broader Lam EI strategy discussions when requested

Who we’re looking for

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.

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.

Nearest Major Market: Boise

Nearest Secondary Market: Meridian

Job Segment: Scientific, Database, Technical Support, Engineering, Technology, Research, Customer Service

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Worksite address

boise, ID, 83708, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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