Data Scientist 3

Lam ResearchBoise, ID
Hybrid

About The Position

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.

Requirements

  • 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.

Responsibilities

  • 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
  • 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
  • Support 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
  • 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

Benefits

  • outstanding benefits
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