Data ScientistJoin 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" positionEI 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-DAeEI Discovery / Data ExplorerEI-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 clustersPerform application health checks and first-level troubleshootingSupport EI application upgrades and validationCoordinate issue resolution with EI Dev, Product, and Global Support teamsValidate application functionality after cluster or data pipeline changesReporting, Startup & Account Team SupportSupport system startups (new clusters, tools, chambers)Help define and track startup readiness metricsFacilitate creation of reports required by Account Teams for: New Lam Tool installationsExpansion phasesCustomer reviewsTraining, Enablement & Knowledge SharingLamAutoArchiver & LamArchiver Tool SoftwareAll EI ApplicationsChamber process fundamentalsProcess control and data set structuresMaintain working knowledge across tool, chamber, and EI data domainsAct as local EI subject matter expert (SME)Support internal training and knowledge sharing when neededStakeholder & Cross-Functional EngagementAct as Lam EI voice to customersMaintain active engagement with customer's IT and Data Science/Analytics teamsProvide structured feedback to Lam EI Dev and Product teams on: Feature gapsOperational pain pointsScalability concernsContribute to broader Lam EI strategy discussions when requestedWho We're Looking ForTypically 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 CommitmentWe 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 BenefitsAt 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.