C.H. Robinson · 4 hours ago
Senior/Lead Operations Research Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$93K/yr - $210K/yr
5+ years expC.H. Robinson is seeking a Lead Operations Research Scientist with deep experience architecting and delivering optimization solutions that power largescale logistics systems. You will own critical optimization initiatives end-to-end—from defining the problem space to build and validating LP/MIP models, to working with engineering and operations teams to implement solutions in production.
LogisticsSupply Chain ManagementTransportation
Responsibilities
Lead the end-to-end delivery of logistics optimization projects, from problem definition and requirements gathering through model development, validation, deployment, and iteration
Develop and maintain optimization models using Linear Programming (LP) and Mixed Integer Programming (MIP) to solve real-world logistics, transportation, and network design problems
Implement optimization solutions using CPLEX, including model formulation, data preparation, solver integration, parameter tuning, and performance optimization
Write clean, maintainable, production ready Python code for model building, experimentation frameworks, data processing, and service integration
Collaborate with software engineering teams to integrate optimization models into production applications, ensuring reliability, observability, and maintainability
Partner with data engineering and analytics teams to access, shape, and validate high-quality datasets using SQL and Snowflake
Translate complex mathematical and operational concepts into clear insights for non‑technical audiences through effective storytelling and data visualization (e.g., Power BI, Python visualization libraries)
Document model assumptions, constraints, design decisions, and handoff artifacts so engineering teams can operationalize solutions smoothly
Establish and promote best practices for optimization model development, including versioning, reproducibility, testing patterns, and scalable architecture
Collaborate cross‑functionally with product, operations, engineering, and business stakeholders to ensure alignment on goals, timelines, and implementation impacts
Support or lead prototyping of simple web‑based tools (where helpful) to accelerate proof‑of‑concept validation and stakeholder adoption
Qualification
Required
5+ years of real-world experience delivering end‑to‑end optimization solutions in production environments, ideally within logistics, transportation, supply chain, or large‑scale operational systems
Demonstrated ability to independently lead and deliver complex optimization initiatives
Demonstrated mastery of Linear Programming (LP) and Mixed‑Integer Programming (MIP) model formulation, constraint design, feasibility analysis, and optimization trade‑offs
Hands‑on experience using CPLEX (or equivalent e.g. Gurobi) to solve complex modeling problems
Strong programming skills in Python, with experience writing clean, modular, testable code suitable for production usage
Solid experience with SQL and cloud‑based data warehouses such as Snowflake
Experience collaborating with software engineers and integrating optimization models into production systems, including familiarity with C#–based services and APIs
Proven ability to simplify and communicate complex technical concepts to less technical stakeholders through effective data visualization and presentation
Deep experience validating assumptions, constraints, and operational inputs to ensure models align with real‑world logistics workflows and constraints
Strong documentation habits and a track record of creating clear, maintainable artifacts for engineering handoffs
Ability to work effectively in a remote environment with stakeholders across engineering, operations, and product
Preferred
Experience with web development (e.g., React, TypeScript, or ASP.NET Core) to support lightweight proof‑of‑concept tools
Familiarity with additional OR techniques such as simulation (discrete‑event or Monte Carlo), decomposition methods, or heuristics/metaheuristics
Background in network optimization, asset repositioning, vehicle routing, facility location, supply chain modeling, or trailer pool management
Experience deploying optimization services in cloud environments (e.g., Azure, AWS) and integrating with CI/CD pipelines
Experience mentoring junior engineers or researchers and helping scale a technical capability
Values a diverse and inclusive work environment
Benefits
Three medical plans which include
Prescription drug coverage
Enhanced Fertility benefits
Flexible Spending Accounts
Health Savings Account (including employer contribution)
Dental and Vision
Basic and Supplemental Life Insurance
Short-Term and Long-Term Disability
Paid observed holidays
2 paid floating holidays for U.S. hourly employees
Flexible Time Off (FTO) offered to U.S. salaried employees — no accruals and no caps. Paid Time Off (PTO) offered to all other employees in the U.S. and Canada
Paid parental leave
Paid time off to volunteer in your community
Charitable Giving Match Program
401(k) with 6% company matching
Employee Stock Purchase Plan
Plus a broad range of career development, networking, and team-building opportunities
Company
C.H. Robinson
C.H. Robinson helps companies simplify their global supply chains and understand their landed costs.
10001+ employees
H1B Sponsorship
C.H. Robinson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-10-15IPO
Leadership Team
David Bozeman
Chief Executive Officer
John Wiehoff
Chief executive officer
Recent News
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