Data Scientist - Agentic AI / ML

About the company Applied Materials is a global leader in materials engineering solutions, designing, building, and servicing cutting-edge equipment used to produce semiconductors and advanced displays. The company is foundational to the global electronics industry, enabling technologies such as AI and IoT. Their Joint Operations Leadership (JOLT) Data Science team drives operational excellence through advanced analytics, AI, and machine learning. About the role This Data Scientist role sits within the JOLT team and focuses on developing end-to-end AI solutions — from problem formulation to production deployment. The position involves high-impact, cross-functional initiatives spanning supply chain, demand forecasting, and GenAI application development. The role requires both research depth and hands-on engineering across ML and LLM systems. Responsibilities - Develop and deploy machine learning models from inception to production - Work on GenAI and LLM projects including fine-tuning, embedding-based search, and AI-driven prototypes - Direct architects in designing GenAI architectures, including plugin-based and custom GenAI solutions - Apply data mining and ML algorithms to historical and real-time data for forecasting and pattern recognition - Interface with stakeholders for requirements analysis, KPI definition, and insight delivery - Identify opportunities for forecast accuracy improvement in Service Supply Chain - Collaborate with Material Planning, Field Operations, Inventory Management, NPI, and Reliability Engineering teams Requirements - Advanced degree (MS or PhD) in Statistics, Computer Science, Economics, Operations Research, or related quantitative field - 0–2 years of industry experience in applied machine learning or AI - Hands-on experience building GenAI applications (agents, reasoning workflows, RAG) and working with LLMs - Practical experience with deep learning frameworks: PyTorch, JAX, or TensorFlow - MLOps experience including model deployment, versioning, and production monitoring - Proficiency in Python, SQL, scikit-learn, and forecasting libraries - Strong communication and storytelling skills with ability to influence executive stakeholders Nice to have - Not specified Benefits & perks - Comprehensive benefits package (health and wellbeing programs) - Bonus and stock award program eligibility - 10% travel requirement - Supportive learning and growth-oriented work culture Compensation Base salary range: $142,500 – $196,500 depending on location, hire grade, experience, and internal equity. Eligible for bonus participation and stock award program. For sales roles, posted range reflects Target Total Cash (TTC); this is not a sales role.