6 дней назад
Operations Research Scientist (Logistics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Operations Research Scientist (Logistics) (Supply Chain Optimization): Developing advanced analytics and optimization solutions for distribution networks, transportation routing, hub-and-spoke designs, warehousing capacity, and fulfillment operations with an accent on supply chain modeling, machine learning, and logistics performance. Focus on building optimization proofs of concept, leading cross-functional improvement programs, analyzing large datasets, and delivering measurable cost and service improvements.
Location: Bangalore, India
Company
develops and services equipment used to manufacture semiconductor chips and advanced displays.
What you will do
- Apply advanced supply chain analytics, simulation, data science, and optimization techniques to network design, transportation, routing, warehousing, fulfillment, and planning problems.
- Develop proofs of concept and lead continuous improvement projects that reduce supply chain costs or improve service performance.
- Analyze transportation network design, fulfillment policies, warehousing operations, and multiple freight modes, including truckload, LTL, parcel, and HWA freight.
- Manage cross-functional programs involving multiple organizations, outsourced logistics providers, and freight forwarders.
- Define objectives, analyze data, track milestones, and collaborate with IT and business stakeholders to deploy measurable improvements.
- Produce optimization scenario reports and dashboards using Tableau and Power BI while contributing to supply chain optimization thought leadership.
Requirements
- Graduate degree in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a related quantitative field.
- 7–10 years of experience in supply chain analytics, logistics, transportation, or a related function.
- At least 5 years of hands-on data modeling experience with SQL, Python, or similar tools.
- Strong understanding of statistical modeling, including regression, classification, and decision trees.
- At least 5 years of experience with optimization or modeling tools such as BY TMOD, Llamasoft, Gurobi, CPLEX, or Xpress.
- Experience with machine learning algorithms and optimization approaches including clustering, classification, reinforcement learning, LP, and MILP.
Nice to have
- PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science, or equivalent experience.
- Experience with SAP or similar ERP and WMS software.
- Semiconductor or technology industry experience.
- Experience in spares and service or aftermarket operations.
Culture & Benefits
- Supportive work culture focused on learning, development, and career growth.
- Opportunity to work autonomously in an ambiguous environment and collaborate in a matrixed organization.
- Health and wellbeing programs supporting employees at work and at home.
- Full-time regular employment with approximately 20% travel.
- Relocation eligible.
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