$142,500 - $196,500 USD yearly
Originally posted 22 May 2026 by the employer. Relisted by the employer on 17 September 2026.
About the role
Applied Materials is seeking a Data Scientist for the Joint Operations Leadership (JOLT) Data Science team to build end-to-end AI and machine learning solutions for supply chain and operational workflows.
What you'll do
- Research and develop machine learning models and automated analytical processes from inception to production deployment. - Work on GenAI and LLM projects, including fine-tuning models, building embedding-based search systems, and creating AI-driven prototypes. - Direct architects to design GenAI architectures, including plugin-based solutions and custom application builds. - Apply data mining and machine learning algorithms to historical and real-time data for material forecast, demand forecast, and pattern recognition. - Collaborate with Material Planning, Field Operations, Inventory Management, NPI, and Reliability Engineering to capture business drivers impacting demand for Service Parts and Accessories. - Work with stakeholders to perform requirements analysis, define KPIs, and deliver business insights to Service Supply Chain leadership.
What you'll need
- Advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, Economics, or Operations Research. - 3-5 years of industry experience in applied machine learning or related AI work. - Hands-on experience building GenAI-focused applications, agentic AI, reasoning workflows, or RAG systems, with an understanding of LLM architecture and operations. - Direct implementation experience with Deep Learning frameworks such as PyTorch, Jax, or TensorFlow. - Experience with MLOps practices, including model deployment, versioning, and performance monitoring in production environments. - Proficiency in Python, SQL, scikit-learn, and forecasting libraries.
Skills: Data Scientist, AI/ML, advanced analytics, operational excellence, supply chain
This role has been open 191 days — well above the 52-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
103
|
Median days open
52 d
|
Median salary
$193k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Applied Materials | All employers we track in this specialty (103 roles · 32 employers) |
|---|---|---|
| Open roles in this specialty | 11 | 103 |
| Open roles in the wider Software, Firmware & Systems family | 156 | 6250 · 144 employers |
| Median days open | 67 d | 52 d (+15 d vs this employer) |
| Median salary (USD postings) | — | $193k |
Skills observed across this category: Data Scientist, AI/ML, advanced analytics, operational excellence, supply chain
Who's hiring in this category
- KLA Corporation · 14 open roles · median 44 d
- Micron Technology · 12 open roles · median 44 d
- Applied Materials (this employer) · 11 open roles · median 67 d
- Lam Research · 8 open roles · median 29 d
- Cadence Design Systems · 7 open roles · median 27 d
- Etched · 6 open roles · median 9 d
How we counted: 103 open Software Engineering Semiconductor (AI EDA Design) roles from 32 employers tracked in the SemiconductorJobs index, counted 25 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
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