Data Scientist III

Lam Research

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Boise, ID
Posted
102 days ago
Freshness
Confirmed live yesterday
Closes
Nov 28, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $160k
$89k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $126,800–$192,437.

Based on 240 similar postings.

Employer

About Lam Research

Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.

Lam Research currently has 299 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 141 roles with salary data.

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At a glance

TL;DR · Data Scientist III

As a Data Scientist 3 within the Customer Support Business Group, you will design and program methods to transform unstructured big data into actionable insights for critical equipment and processes. You will develop algorithms and automated processes to evaluate large datasets from disparate sources while providing technical support for various applications including IBP Apps, EI-DA2.x, and JupyterLab-Python. Your daily responsibilities involve monitoring application health on EIDH clusters, troubleshooting issues, performing upgrades, and validating data pipeline changes. You will also manage system startups, track readiness metrics, and create reports for new tool installations. Serving as a subject matter expert, you will collaborate with customer IT and data science teams to provide feedback on feature gaps and scalability while ensuring high-quality service and lifecycle solutions for the installed base of equipment.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Analyze unstructured and diverse big data to generate actionable insights for data-driven decision making.
  • Develop algorithms and automated processes to evaluate large datasets from disparate sources.
  • Provide technical support and troubleshooting for various EI applications on EIDH clusters.
  • Perform application health checks, upgrades, and validations following cluster or data pipeline changes.
  • Support system startups by defining and tracking readiness metrics for new tools and chambers.
  • Create reports for account teams regarding tool installations, expansion phases, and customer reviews.
  • Act as a subject matter expert to provide internal training and knowledge sharing on EI applications.
  • Provide structured feedback to development and product teams regarding feature gaps and operational pain points.

What we're looking for

  • A Bachelor's degree with 5 years of related experience is required.
  • A Master's degree with 3 years of related experience is accepted as an equivalent qualification.
  • A PhD is accepted as a qualifying credential without additional experience.
  • Equivalent work experience may be substituted for the specified degrees and years of experience.
  • Experience designing, developing, and programming methods to analyze unstructured and diverse big data into actionable insights.
  • Ability to develop algorithms and automated processes to evaluate large datasets from disparate sources.
  • Proficiency in using JupyterLab-Python and various internal EI applications and tools.
  • Expertise in communicating technical insights to stakeholders and collaborating with cross-functional teams.

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