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Operations Research Scientist / Senior Operations Research Scientist

Operations Research Scientist / Senior Operations Research Scientist

EffimalIndia
10 hours ago
Job description

Company Description

Effimal is a high-growth startup founded by IIT alumni and seasoned industry experts who have led consulting and technology initiatives at Fortune 500 companies. Built on deep experience in supply chain consulting and optimization, Effimal delivers cutting-edge, AI-powered decision intelligence for supply chains.

As a leader in its domain, Effimal leverages state-of-the-art optimization algorithms and AI to provide prescriptive solutions across the supply chain and logistics spectrum. From demand forecasting and inventory planning to network optimization and strategic scenario planning, Effimal empowers organizations to make smarter, faster, and more resilient decisions.

Role Description

We are looking for Operations Research Scientists (2–4 years of experience) and Senior OR Scientists (4–8 years) to join us for a major client engagement. In this role, you will develop large-scale optimization models using advanced OR methodologies to solve complex business problems, analyze systems, and enhance organizational performance.

Key responsibilities include requirement gathering, data analysis, model design, statistical evaluation, and collaborating with cross-functional teams to research, develop, and implement effective solutions.

Qualifications

  • Develop and validate MILP / LP optimization models for real-world business problems.
  • Translate business challenges into clear mathematical formulations.
  • Work with leading commercial solvers (Gurobi preferred; CPLEX, AMPL / AIMMS also welcome).
  • Collaborate with engineering teams to help architect and support product development.
  • Strong understanding of linear, nonlinear, and mixed-integer optimization.
  • Hands-on experience in optimization for supply chain, scheduling, logistics, or procurement.
  • Strong analytical and problem-solving skills.
  • Experience with statistics and statistical analysis.
  • Demonstrated expertise in data analysis and deriving actionable insights.
  • Proficiency in Python / Java / C#.
  • Excellent communication and problem-solving abilities.
  • Master’s or Ph.D. in Operations Research, Mathematics, Economics, or a related field.

Interested candidates are requested to send their CV to

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