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Mathematical Optimization Jobs in Chicago, IL (NOW HIRING)

C++ Developer

Chicago, IL · On-site

$96 - $98/hr

This role involves building mathematical optimization, statistical, and decision support models.Key Responsibilities* Design, develop, and maintain high-performing, large-scale C++ applications and ...

Architect, Data Science

Chicago, IL · On-site

$155 - $190/hr

... mathematical optimization. * Expert knowledge of Python and SQL and strong hands‑on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). * Proficiency with commercial and ...

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

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Mathematical Optimization information

See Chicago, IL salary details

$16.5K

$57.5K

$105.1K

How much do mathematical optimization jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mathematical optimization in Chicago, IL is $57,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,100.00 and $74,700.00 per year, depending on experience, location, and employer.

What is a mathematical optimization?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What do mathematical optimization professionals do?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in mathematical optimization?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What are the most commonly searched types of Mathematical Optimization jobs in Chicago, IL?

The most popular types of Mathematical Optimization jobs in Chicago, IL are:

What are popular job titles related to Mathematical Optimization jobs in Chicago, IL?

For Mathematical Optimization jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization jobs in Chicago, IL look for?

The top searched job categories for Mathematical Optimization jobs in Chicago, IL are:

Infographic showing various Mathematical Optimization job openings in Chicago, IL as of August 2026, with employment types broken down into 80% Full Time, 8% Part Time, 4% Contract, and 8% Nights. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $57,476 per year, or $27.6 per hour.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Bristlecone

Mundelein, IL • On-site

Other

Posted 7 days ago


Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!