Data Scientist 3

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.

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.

"EI Specialist" position

EI Application Technical Support (EIDH-Resident Apps)

• Provide (Advanced / As Needed) EI Analytics & Continuous Improvement (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

• 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.

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.