Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
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Role: Operations Research Scientist (Logistics)
Location: Bangalore - IN
As part of the Applied Global Services (AGS) network optimization & transportation ops team, your primary role will be to apply supply chain advanced analytics and optimization approaches to solve complicated network problems including distribution network design, transportation mode and routing, hub and spoke designs, routing optimizations, warehousing capacity, and other areas where simulation and modeling can bring significant cost and service improvements. This position will be the subject matter expert in the use of data science, machine learning, and similar advanced optimization techniques in the field of supply chain operations. In this highly visible role, you will collaborate with key functional stakeholders to gain expertise in the technical and functional areas of supply chain optimization.
Minimum Qualifications
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A graduate degree in a quantitative OR operations field such as Operations Research, Industrial Engineering, Supply Chain, Statistics or related major
7-10 years of overall experience in supply chain analytics, logistics, transportation, or related function
5+ years of hands-on experience with data modeling using SQL, Python, etc. Solid understanding of statistical modeling techniques such as regression, classification, decision trees, etc
5+ years of hands-on experience using optimization or modelling software such as BY TMOD, Llamasoft, Gurobi, CPLEX, or Xpress. Experience with machine learning algorithms such as clustering, classification, reinforcement learning, and experience using OR multi-objective linear programming (LP), mixed-integer linear programming (MILP), and other optimization approaches
Preferred Qualifications
PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science or equivalent work experience
SAP or similar ERP, WMS software user experience is a plus
Semiconductor/Tech industry experience is a plus
Spares & Service, aftermarket domain experience is a plus
Willingness to roll up your sleeves and do whatever is necessary to achieve program objectives
Key Responsibilities
Develop and expand the utilization of advanced supply chain analytics techniques and collaborate with stakeholders to solve practical problems in areas such as network design, fulfillment operations, logistics, and planning, etc.
As a supply chain optimization practitioner, develop proofs-of-concept and lead continuous improvement projects (CIP) resulting from network analytics to reduce supply chain costs and/or increase service performance
Develop a good understanding of current transportation network design, planning and fulfillment policies, warehousing and transportation operations for various modes (truckload, LTL, parcel and HWA freight, etc.), other related business processes critical for network optimization
Manage the full lifecycle of cross-functional programs with considerable impact across multiple organizations. Project scope could be moderate to high in complexity and includes processes with outsourced logistics operations providers, freight forwarders
Define the program, set objectives, analyze data, and drive improvements that are quantifiable with business metrics. Collaborate with cross-functional teams including IT organizations to deploy the improvements. Provide visibility into the roadmap, milestone, and tracking of program objectives
Develop comprehensive output reports from optimization scenarios using Tableau, Power BI and support analytics improvement initiatives across network operations organization
Manage multiple tasks and priorities concurrently and work well under tight timelines
Contribute to thought leadership for the subject of supply chain optimization
Functional Knowledge
Demonstrates depth and/or breadth of expertise in own specialized discipline or field
Business Expertise
Demonstrates understanding of business, cross-functional, financial, and people aspects and ability to analyze business processes
Leadership
May lead functional teams or projects with moderate to high resource requirements, risk, and/or complexity without direct reporting authority over the project team
Problem Solving
The ability to structure complex problems, do root cause analysis with an eye for recognizing data patterns and process connections. Ability to deep-dive large sets of data from multiple sources, formulate/validate hypotheses, and make business recommendations
Impact
Work autonomously in an ambiguous environment yet collaborate in a matrixed team environment, seeking to understand business problems, attention to details, challenge status quo, and apply continuous innovation in a fast-paced environment
Interpersonal Skills
Excellent written and verbal communication skills and ability to successfully communicate ideas and sell strategic plans to cross-functional stakeholders. Ability to multi-task in a fast-paced environment
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Relocation Eligible
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.
About Applied Materials
Semiconductors36500 employeesFounded 1967
Global leader in materials engineering for the semiconductor industry.
