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6 дней назад

Operations Research Scientist (Logistics)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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