Applied Materials · 6 hours ago
Data Scientist III - (B3)
Santa Clara,CA
Full-time
Onsite
Mid, Senior Level
$142K/yr - $196K/yr
4+ years expApplied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. The role of Data Scientist III focuses on operational optimization and intelligent automation, utilizing machine learning and statistical modeling to transform complex data into actionable insights and autonomous workflows that enhance business operations.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
Optimize operational workflows by designing and deploying ML models that improve efficiency, reduce manual effort, and support data‑driven decision-making across business units
Develop autonomous, agentic AI systems that can proactively monitor processes, make recommendations, trigger actions, and continuously improve through feedback loops
Interpret and analyze complex datasets using advanced statistical and machine learning techniques; communicate insights clearly to technical and non‑technical stakeholders
Build scalable data collection and analytics pipelines that enhance data quality, statistical efficiency, and real-time decisioning
Develop and validate custom ML models (supervised, unsupervised, time-series, causal inference, etc.) tailored to operational use cases
Implement predictive and prescriptive models to address a wide range of business challenges in manufacturing, supply chain, customer operations, finance, and more
Work with cross-functional teams to define new process automation and optimization opportunities driven by machine learning and intelligent agents
Maintain and enhance internal data systems, ensuring ongoing data integrity, reliability, and governance
Participate in code reviews, model reviews, and best‑practice development, contributing to a high-performance Data Science culture
Qualification
Required
Strong expertise in data modeling, database design, feature engineering, and data mining with large-scale structured and unstructured datasets
Proficiency with SQL, statistical programming languages (Python, R) and experience building end-to-end ML workflows
Hands-on experience with machine learning algorithms and frameworks, including clustering, decision trees, ensemble methods, deep learning, and reinforcement learning
Familiarity with agentic AI frameworks, autonomous decision agents, and LLM-based workflow orchestration (e.g., tools, function-calling, planning agents)
Experience with Tableau or similar BI tools, enabling clear, actionable data storytelling
Expertise in statistical techniques including regression, distribution properties, hypothesis testing, and experimental design
Strong analytical and problem‑solving skills with exceptional attention to detail, data accuracy, and model validation rigor
Ability to systemically identify optimization opportunities and translate them into scalable ML or AI-driven automation solutions
Deep experience writing highly optimized SQL queries and working with large enterprise data systems
Master's Degree in Computer Science, Data Science, Statistics, Engineering, or a related field
4–7 years of relevant industry experience in applied machine learning, data science, operational analytics, automation, or AI agent development
Benefits
Comprehensive benefits package
Participation in a bonus
Stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
Senior Vice President and Chief Technology Officer
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-16
2026-01-16
2026-01-16
Company data provided by crunchbase