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Mathematical Optimization Jobs in Maryland (NOW HIRING)

Applied Mathematics Tutor

Rockville, MD ยท Remote

$18 - $40/hr

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 Maryland salary details

$15.5K

$54.1K

$99K

How much do mathematical optimization jobs pay per year?

As of Aug 18, 2026, the average yearly pay for mathematical optimization in Maryland is $54,150.00, 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 the most commonly searched types of Mathematical Optimization jobs in Maryland?

The most popular types of Mathematical Optimization jobs in Maryland are:

What are popular job titles related to Mathematical Optimization jobs in Maryland?

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

What job categories do people searching Mathematical Optimization jobs in Maryland look for?

The top searched job categories for Mathematical Optimization jobs in Maryland are:

What cities in Maryland are hiring for Mathematical Optimization jobs?

Cities in Maryland with the most Mathematical Optimization job openings:

Infographic showing various Mathematical Optimization job openings in Maryland as of August 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,150 per year, or $26 per hour.

Post doctoral researcher in Mathematics or Statistics

University of Maryland Baltimore County

Baltimore, MD โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Applied Mathematics or Statistics, in particular relating to data science applications".
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in applied mathematics, statistics, biostatistics, machine learning or a related field before their appointment start date. Successful candidates are expected to carry out research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of applied mathematics and statistics may apply. Our interests include but are not limited to analysis and computation of partial differential equations and applications; stochastic processes and applications (e.g. mathematical biology, data science); mathematical biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration, neuromechanical locomotion, network synchronization), parameter estimation (e.g. in epidemiological spread, chemical reaction networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158844
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.