Data Scientist - Agentic AI / ML

About the role

Applied Materials' Joint Operations Leadership (JOLT) Data Science team is looking for a Data Scientist in Santa Clara, CA, to build end-to-end AI solutions, from problem formulation to production deployment. The team uses advanced analytics, AI and machine learning to rebuild customer trust, strengthen the supply chain, reshape supplier relationships and improve profitability.

Key responsibilities

• Work in project teams developing analytical models, algorithms and automated processes, and research and develop machine learning models from inception to deployment.
• Work on GenAI and LLM projects, including fine-tuning models, embedding-based search systems and AI-driven prototypes.
• Design GenAI architectures for stakeholders, especially plugin-based solutions and custom GenAI application builds.
• Use data mining and machine learning to turn historical and real-time data into insights for material and demand forecasts, pattern recognition and similar projects.
• Interface with stakeholders on requirements and schedule, derive insights and define actions and KPIs with business units.
• Identify ways to improve forecast accuracy and share insights with Service Supply Chain leadership.
• Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning and Reliability Engineering teams on data and business drivers affecting future demand for Service Parts and Accessories.

Required profile

• 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 applications (agents, reasoning workflows, RAG) and a solid understanding of how large language models are built and run.
• Experience implementing models in deep learning frameworks such as PyTorch, JAX or TensorFlow.
• Ability to work collaboratively with cross-functional teams.

Required skills

• MLOps: model deployment, versioning and performance monitoring in production.
• Proficiency in Python, SQL and tools such as scikit-learn and forecasting libraries.
• Strong analytical and problem-solving abilities, and excellent communication and storytelling skills.

What we offer

• Salary of $170,000 - $234,000.
• Full-time, on-site position in Santa Clara, CA, with relocation eligibility.
• Comprehensive benefits package, with possible bonus and stock award program.