As today’s businesses seek to reduce costs, improve efficiency, and make smarter, data-driven decisions, many are discovering the power of mathematical optimization and the impact it can make across their operations.
In fact, according to Gurobi’s latest State of Mathematical Optimization report, 93% of optimization users surveyed reported that optimization is either gaining traction or remaining steady among decision-makers within their organizations.
But who are these teams behind the scenes, putting optimization to work to drive innovative impacts?
Optimization experts—including those trained in operations research, data science, mathematics, and engineering—are quickly becoming the MVPs of today’s leading businesses.
These professionals know how to leverage all of the key technology components in decision intelligence to help their organizations find the best possible solutions to their biggest challenges.
Optimization may not always be in the spotlight, but its impact is undeniable. Across industries—from supply chain management to energy distribution, finance, and transportation—optimization professionals help their organizations operate at peak efficiency.
According to our survey:
And the demand for optimization expertise is rising. According to the Bureau of Labor Statistics, over 28,300 new operations researchers will be needed by 2033.
Check out more key stats in the infographic below:
The growing reliance on this technology isn’t just a trend—optimization is essential for any organization that wants to remain competitive.
Companies that embrace optimization can:
Organizations that fail to invest in optimization risk losing out to competitors who are using it to drive better results.
As more businesses recognize the potential of mathematical optimization and how it can transform their operations, the demand for talent will continue to grow.
Optimization professionals typically have backgrounds in:
The current job market reflects the growing demand for these skills. In addition to the rising demand for operations researchers, the Bureau of Labor Statistics projects a need for 73,100 additional data scientists by 2033.
Although optimization is a fast-growing field, it has historically had a high barrier to entry, demanding specialized expertise. According to our survey, 82% of respondents hold either a master’s degree or doctorate.
However, there are more resources than ever available to those who are interested in learning more about optimization or looking to develop their skills.
For example, Gurobi AI Modeling takes a problem-first, mathematics-second approach, enabling new users to quickly see optimization in action and jumpstart their journey into better decision making. This set of documentation and AI-powered resources will teach you how to leverage generative AI technology to build simple optimization models.
Gurobi also offers a number of educational resources aimed at helping academics, data scientists, and others build a strong foundation in optimization.
Curious to learn more about the current and future state of optimization? Download the complete State of Mathematical Optimization report today.
Senior Data Science Strategist
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies. Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS. Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs. Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies. Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS. Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs. Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
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