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Mathematical Optimization Jobs in Pittsburgh, PA

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

College Math Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

... and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and ...

Company Description Our client created a PPC Optimization platform and is looking for a PPC ... Preferred majors: marketing, business, engineering, math, or statistics * Excellent verbal and ...

SAT Tutor

Pittsburgh, PA · Remote

$24 - $40/hr

... math strategies, and grid-in question techniques. Emphasizes strategic guessing and score optimization through official practice tests. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

... optimization. * Communicate technical findings through reports, presentations, and research ... D. in Chemical Engineering, Mechanical Engineering, Applied Mathematics, or a related STEM ...

Technical Advisor

Mount Pleasant, PA · On-site

$102K - $102K/yr

Production Optimization: Work with adjusters, operators, and other team members to optimize machine ... High School education or equivalent, with mathematics emphasis. * Intermediate computer skills ...

Technical Advisor

Mount Pleasant, PA · On-site

$102K - $102K/yr

Production Optimization: Work with adjusters, operators, and other team members to optimize machine ... High School education or equivalent, with mathematics emphasis. * Intermediate computer skills ...

Technical Advisor

Mount Pleasant, PA · On-site

$102K - $102K/yr

Production Optimization: Work with adjusters, operators, and other team members to optimize machine ... High School education or equivalent, with mathematics emphasis. * Intermediate computer skills ...

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Mathematical Optimization information

See Pittsburgh, PA salary details

$15.5K

$54.2K

$99K

How much do mathematical optimization jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mathematical optimization in Pittsburgh, PA is $54,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $70,400.00 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 popular job titles related to Mathematical Optimization jobs in Pittsburgh, PA?

For Mathematical Optimization jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization jobs in Pittsburgh, PA look for?

The top searched job categories for Mathematical Optimization jobs in Pittsburgh, PA are:

Infographic showing various Mathematical Optimization job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $54,166 per year, or $26 per hour.

Tenure-track position in Mathematical Sciences - Computational Mathematics (AY27/28)

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 14 days ago


Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

35th of 631 rated colleges and universities


Job description

Description
The Department of Mathematical Sciences at Carnegie Mellon University invites applications for an open rank tenure-track position to begin September 1, 2027. This search will focus on the area of computational mathematics broadly construed. This includes optimization, mathematical foundations of machine learning and AI, AI for mathematics, and numerical analysis.
Demonstrated experience in mentoring students is desirable, and interest in advancing interdisciplinary endeavors is valued. Through this appointment the Department hopes to enhance our existing connections with the School of Computer Science, the Department of Statistics and Data Science, the College of Engineering, the Tepper School of Business, the Hoskinson Center for Formal Mathematics, or to develop new connections.
Qualifications
A Ph.D. in Mathematics or a closely related discipline is required.
Application Instructions
Applicants should submit all materials electronically through Interfolio and MathJobs. This includes a cover letter, curriculum vita, list of publications, a statement describing current and planned research, and a teaching statement. Candidates should also arrange for at least three letters of recommendation that will be solicited through MathJobs.
The review applications will begin on November 15, 2026. However, applications may be accepted and reviewed until the position is filled.

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