Data Scientist - Agentic AI​/ML

We are seeking a Data Scientist for our Joint Operations Leadership (JOLT) Data Science team. This role focuses on rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.

• Work in project teams developing analytical models, algorithms, and automated processes.
• Research, develop, and deploy machine learning models from inception to production.
• Lead GenAI and large language model (LLM) projects, including fine‑tuning, embedding‑based search systems, and AI‑driven prototypes.
• Direct architects to design and implement GenAI architectures and plugin‑based solutions for stakeholders.
• Use data mining and machine learning techniques to provide insights into historical and real‑time data for projects such as material forecast, demand forecast, and pattern recognition.
• Interface with stakeholders for requirement analysis, derive insights, and determine actions and KPIs.
• Identify opportunities for forecast accuracy improvement and provide actionable insights to Service Supply Chain leadership.
• Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, and Service Campaigns teams to gather data and identify key business drivers impacting future demand.

• Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
• 0–2 years of industry experience in applied machine learning or related AI work.
• Hands‑on experience building GenAI‑focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
• Experience with common deep‑learning frameworks such as PyTorch, Jax, or Tensor Flow.
• Proficiency in Python, SQL, and tools such as scikit‑learn and forecasting libraries.
• Experience with MLOps, including model deployment, versioning, and performance monitoring in production environments.
• Excellent analytical and problem‑solving abilities and a strong grasp of machine learning concepts.
• Strong communication and storytelling skills—able to simplify complexity and influence executive stakeholders.
• Ability to work collaboratively with cross‑functional teams.

• Location: Santa Clara, CA (on‑site)
• Time Type: Full time
• Travel: Yes, approximately 10% of the time
• Relocation Eligibility: No
• Salary Range: $ – $ (based on location, hire grade, experience, and internal equity)
• Additional compensation may include participation in a bonus and a stock award program, as applicable.
• When applicable, the posted salary range is the Target Total Cash (TTC) range, which is the sum of base salary and target bonus at 100% goal achievement.

In addition to a comprehensive benefits package, this role offers various forms of compensation such as bonuses and stock awards.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

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