About this opportunity
LAM RESEARCH Corporation lists this Data Scientist 3 opportunity in boise, Idaho. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The group you’ll be a part of
The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for 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 Specialist” position
EI Application Technical Support (EIDH-Resident Apps)
Provide (Advanced / As Needed) EI Analytics & CIP Support utilizing:IBP Apps (AutoTRD, MATH, ARC, PPD, SRC)
EI-DA2.x / EI-DAe
EI Discovery / Data Explorer
EI-Apps (EI-SSHC, EI-CV, EI-AA, AutoTRD, MATH, etc.)
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.
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Worksite address
boise, ID, 83708, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.