Data Scientist III B3

Data Scientist III - (B3) page is loaded## Data Scientist III - (B3) locations:
Santa Clara,CAtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
January 20, 2026 (3 days left to apply) job requisition :
R2610644
** Who We Are
** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
** What We Offer
** Salary:$ - $

Location:

Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .About the Role  We are seeking a forward‑thinking Data Scientist focused on operational optimization and intelligent automation. The ideal candidate will leverage machine learning, statistical modeling, and emerging agentic AI capabilities to transform complex data into actionable insights and autonomous workflows that drive measurable impact across business operations.

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.

Requirements
* 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…