Data Scientist 3

Lam Research

Quick summary

Work type
On-site
Location
Hillsboro, OR
Posted
41 days ago
Closes
Nov 1, 2026

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Salary context

How this pay compares to similar roles

Similar $154k
$89k most similar roles pay here $194k

This listing doesn't post a salary. Most similar roles pay $126,800–$181,588.

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 379 open roles on FindRole.

Listed pay typically runs $105,000–$231,000 across 186 roles with salary data.

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At a glance

TL;DR · Data Scientist 3

As a Data Scientist at Lam in Hillsboro, Oregon, you will join the semiconductor fabrication equipment team to design and develop methods for analyzing large, unstructured datasets into actionable insights. Your day-to-day responsibilities include engaging with customer IT teams, providing feedback on feature gaps and operational pain points, supporting system startups, and defining startup readiness metrics. You will also contribute to broader strategic discussions within Lam. Ideal candidates have experience in semiconductor fabrication equipment and proficiency in tools like Vector Excel, Vector Extreme, and Vector MDG. Strong data analytics skills, mechanical engineering knowledge, and the ability to work with executives are crucial for success in this role.

What you'll do

  • Develop and program methods to analyze big data into actionable insights.
  • Design algorithms and automated processes for evaluating large datasets from various sources.
  • Support system startups by defining and tracking readiness metrics.
  • Facilitate the creation of reports required by Account Teams for new installations and expansions.
  • Provide structured feedback on feature gaps, operational pain points, and scalability concerns to customers.
  • Contribute to broader Lam strategy discussions when requested.

What we're looking for

  • At least 5 years of related experience or equivalent education in data science
  • Develop and program methods to analyze big, unstructured data into actionable insights
  • Experience with semiconductor fabrication equipment preferred
  • Expertise in generating, interpreting, and communicating actionable analytics
  • Support system startups and define startup readiness metrics for new installations
  • Engage actively with customer IT and Data Science teams to address operational issues
  • Familiarity with Vector Excel, Vector Extreme, Vector MDG, and Vector MDGL tools beneficial

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