Careers

Lam Research

Quick summary

Work type
On-site
Location
Boise, ID
Posted
42 days ago
Closes
Oct 21, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $198k
$132k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $162,000–$234,037.

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 267 open roles on FindRole.

Listed pay typically runs $114,000–$231,000 across 132 roles with salary data.

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View all roles at Lam Research

At a glance

TL;DR · Careers

As a Data Scientist at Lam in Boise, Idaho, you will join a dynamic team to design and develop methods for analyzing large, unstructured datasets into actionable insights. Your daily tasks include creating algorithms and automated processes to evaluate data from various sources, providing advanced analytics support using tools like IBP Apps, EI-DA2.x, and JupyterLab-Python, and maintaining application health across EIDH clusters. You will also engage with stakeholders to gather feedback on feature gaps and operational pain points, contributing to the broader strategy of Lam’s Enterprise Intelligence (EI) initiatives. The role requires proficiency in Python, SQL, and machine learning frameworks, along with experience in data engineering and analytics. Ideal candidates have a background in mechatronics or mechanical engineering and at least 5 years of relevant industry experience.

What you'll do

  • Develop and maintain EI applications on EIDH clusters.
  • Perform health checks and troubleshoot issues for EI apps.
  • Validate application functionality after system changes or upgrades.
  • Support new Lam Tool installations and expansion phases.
  • Act as local subject matter expert for EI applications training.

What we're looking for

  • At least 5 years of experience in data science or related field with a Bachelor’s degree.
  • Develop and maintain algorithms for analyzing large datasets from diverse sources.
  • Provide technical support and continuous improvement for EI applications.
  • Monitor application health, perform troubleshooting, and coordinate issue resolution.
  • Support system startups, define readiness metrics, and create reports for new installations.
  • Act as local subject matter expert in enterprise intelligence tools and process control.

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