Data Scientist

\nKey Responsibilities:\n\nThis role focuses on strengthening and scaling current AI-driven solutions in supply chain and planning, with an emphasis on delivering measurable business impact through advanced analytics and intelligent systems. The Data Scientist will work on high-impact projects involving structured and unstructured data, statistical modeling, and machine learning to enhance forecasting, planning accuracy, and operational decision-making. In addition to supporting today\u2019s priorities, the role will contribute to the team\u2019s long-term vision by exploring emerging AI technologies, including Generative AI and Large Language Models (LLMs), to ensure readiness for future innovation.\n\n * Collaborate with cross-functional teams to design and develop advance AI solutions for high value problems in supply chain and planning\n\n\n\n\n * Apply advanced statistical and machine learning techniques to extract insights and optimize planning, forecasting, and operational efficiency.\n\n\n\n\n * Build and maintain scalable data pipelines and analytical models using tools like Python, SQL, and cloud-native technologies.\n\n\n\n\n * Interface with internal stakeholders to gather requirements, define KPIs, and translate insights into actionable business strategies.\n\n\n\n\n * Lead the development and deployment of LLMs and Generative AI solutions tailored to supply chain and planning challenges\n\n\n\n\n * Experiment with cutting-edge techniques such as RAG, LoRA, and prompt engineering to build intelligent agents and decision-support systems.\n\n\n\n\nRequirements \n\n * Masters Degree in Data Science, Computing, AI/ Analytics\n\n * 7-10 years of deep expertise in machine learning, NLP, and transformer-based architectures.\n\n * Proficiency in Python, SQL, and ML frameworks (e.g., PyTorch, Hugging Face).\n\n * Familiarity with MLOps tools and cloud platforms (Azure preferred).\n\n * Strong understanding of supply chain, planning, and operational workflows.\n\n * Ability to align technical solutions with strategic business goals and KPIs.\n\n * May lead technical initiatives or mentor peers in AI experimentation and deployment.\n\n * Drives innovation by identifying new opportunities for generative AI across the organization.\n\n * Tackles complex, ambiguous problems using analytical thinking, experimentation, and domain knowledge.\n\n * Develops scalable solutions that adapt to evolving business needs.\n\n * Contributes directly to the success of AI initiatives that improve efficiency, accuracy, and agility in global operations.\n\n * Communicates technical concepts clearly to both technical and non-technical stakeholders.\n\n\n\n\n## Qualifications\n\n### Education:\n\nMaster\u0027s Degree\n\n### Skills\n\n### Certifications:\n\n### Languages:\n\n### Years of Experience:\n\n4 - 7 Years\n\n### Work Experience:\n\n## Additional Information\n\n### \n\n### Shift:\n\nDay (Singapore)\n\n### \n\n### Travel:\n\nYes, 25% of the Time\n\n### \n\n### Relocation Eligible:\n\nNo\n\n### Referral Payment Plan:\n\nEmployee Referral (Enhanced)\n\nApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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. \n