Data Scientist

Job Description We are seeking a Data Scientist to bring innovative advanced modeling and optimization solutions to Applied Materials Global Spares Planning and Supply Chain Modeling Team. What's in it for you? This role will challenge you to develop solutions to complex problems within the realm of global planning and supply chain. You will have the opportunity to build advanced models using advanced statistics, simulation environments, and cutting-edge technologies. These models will help form operational guidelines, support informed decision-making, and offer solutions for complex problems. Our group: Our team comprises of data engineers, data scientists, and data analysts. We work collectively to enhance advanced forecasting, simulation, and optimization approaches to solve problems beyond the current capabilities of Applied Materials global spare parts planning and supply chain. Key Responsibilities - Research: Understand the research problem, set up and run experiments, perform data analysis, and present recommendations to management. - Construct innovative advanced models combining statistical methods, simulation, and business intelligence. - Measure, analyze, and improve product performance to enhance user satisfaction and meet desired success criteria. - Identify opportunities to enrich and integrate data from various sources. - Design new model features and implement them in our product. - Create and publish supportive dashboards, reports, and share knowledge with relevant stakeholders. - Establish standardized data, implement code version control, schedule workflows, and develop business and schema tests. - Collaborate with process owners to implement operational guidelines derived from our modeling products into the planning team, and provide training packages and documentation. Skills and Experience - B.Sc./M.Sc in Computer Science, Mathematics, Statistics, or Engineering - 2+ years of experience in Statistical Modeling and Advanced Analysis - Technical orientation; experience with SQL, Python, or other scripting languages - essential - Quantitative experience in Statistics - essential - Problem-solving ability combined with strong communication and analytical skills - Experience with Data Visualization tool (Tableau, Power BI, Qlik) - advantageous - Experience with open-source toolkits: scikit-learn, pandas, NumPy - advantageous Who are we? Part of Applied Materials Global Spares, our team is based in Israel. We optimize the efficiency and resource utilization of our worldwide customers. We are working to develop an optimized service network complete with enhanced inventory management, as well as advanced modeling for demand planning, logistics operation, and supplier signals. Ready to go hybrid! Qualifications Education: Bachelor's Degree Skills, Certifications, Languages: Not Specified Years of Experience: 4 - 7 Years Work Experience: Not Specified Additional Information Travel: Not Specified Relocation Eligible: No Applied 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 prohibited legal basis.