Senior Operations Research Scientist – Supply Chain Optimization

HCL Technologies Limited

Raritan (NJ)

On-site

USD 130,000 - 170,000

Full time

4 days ago
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Job summary

HCL Technologies Limited in New Jersey, USA, seeks an experienced Optimization Specialist / Operations Research Scientist to support migration, validation, and deployment of enterprise supply-chain optimization models, including MEIO, Capacity Planning, and Capacity Expansion.

The role requires strong hands-on Python and Gurobi (gurobipy), expertise in MILP/LP, and the ability to connect models with enterprise data sources; on-site work in New Jersey is required, with 6+ years in mathematical

Qualifications

  • 6+ years of mathematical optimization/Operations Research experience.
  • 3+ years of hands-on Gurobi with Python (gurobipy).
  • Strong MILP, LP, Integer Programming, Python, and Git skills.

Responsibilities

  • Develop, migrate, and validate mathematical optimization models using Python and Gurobi.
  • Design and optimize MILP/LP models for inventory, capacity planning, and production/supply-chain scenarios.
  • Perform solver tuning, infeasibility analysis, benchmarking, and model validation.
  • Integrate optimization models with enterprise data sources and support technical documentation/knowledge transfer.

Skills

Python
Gurobi/gurobipy
MILP/LP
Supply Chain Optimization
MEIO
Capacity Planning
Production Scheduling
Git

Tools

Git

Job description

Senior Operations Research Scientist – Supply Chain Optimization

Project Scope

The resource will be engaged to support the migration and validation of three optimization planning models from client systems to DPS systems: Multi-Echelon Inventory Optimization (MEIO), Capacity Planning, and Capacity Expansion. The focus will be scoped to the solution roadmap and delivery for this project.

Optimization Specialist role to cover a specific project, with the models largely built in python on the Gurobi platform.

Location: New Jersey, USA – Onsite Experience: 6+ years Engagement: Full-time, 40 hours/week

Key Skills

Python, Gurobi/gurobipy, MILP/LP, Supply Chain Optimization

Job Summary

We are seeking an experienced Optimization Specialist / Operations Research Scientist to support the migration, validation, and deployment of enterprise supply-chain optimization models covering Multi-Echelon Inventory Optimization (MEIO), Capacity Planning, and Capacity Expansion. The role requires strong hands-on expertise in Python, Gurobi, mathematical optimization, and supply-chain modeling.

Key Responsibilities
  • Develop, migrate, and validate mathematical optimization models using Python and Gurobi.
  • Design and optimize MILP/LP models for inventory, capacity planning, and production/supply-chain scenarios.
  • Perform solver tuning, infeasibility analysis, benchmarking, and model validation.
  • Integrate optimization models with enterprise data sources and support technical documentation/knowledge transfer.
Must-Have Skills
  • 6+ years of mathematical optimization/Operations Research experience.
  • 3+ years of hands-on Gurobi with Python (gurobipy).
  • Strong MILP, LP, Integer Programming, Python, and Git skills.
  • Experience with MEIO, Capacity Planning, or Production Scheduling.
  • Ability to work on site in New Jersey.
Preferred

Experience in medical devices, pharmaceuticals, healthcare manufacturing, or other complex manufacturing/supply-chain environments.

Sourcing keywords

Python | Gurobi | gurobipy | MILP | Operations Research | MEIO | Capacity Planning | Supply Chain Optimization | Mathematical Modeling

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