Data Scientist at Applied Materials
Santa Clara, CA
$119,500–$164,500from the description
Jul 27, 2026
Santa Clara, CA
Jul 29, 2026
What this job asks for AI summary
An internal consulting role within Applied Materials' Applied Global Services division, focused on improving supply chain, operations, and business processes for a large field-services organization. The work centers on data analysis, statistical modeling, and machine learning to surface opportunities and drive implementation, with deliverables including Power BI dashboards, predictive models, and training materials. Suits a candidate with a mix of analytical depth and cross-functional stakeholder engagement skills.
Mid level · 4+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $90,896 (middle half $69,863–$128,761). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (3)
The posting lists two conflicting experience figures: '4 years relevant work experience' in the body text and '2–4 Years' in the structured metadata. The body text figure (4 years) is used as the minimum, as it is the more specific and contextually framed requirement.
The role blends internal consulting, operations research, and data science. It is classified as Operations Research Analysts (15-2031) because the primary framing is process improvement, supply chain optimization, and business performance analysis; data science techniques (ML, statistical modeling) are tools in service of that mission rather than the core deliverable. Data Scientists (15-2051) is the close runner-up.
Generative AI tools are mentioned only in the context of creating training materials, not as a core analytical requirement, so it is marked as preferred.
Read the full posting
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