BEAVERTON, Ore. – October 10, 2023 – Gurobi Optimization, LLC, the leader in decision intelligence technology, today released its 2023 State of Mathematical Optimization in Data Science report. The report is based on a survey of 569 data scientists and offers critical insights into the changing landscape of data science, with a particular focus on the role of mathematical optimization.
A significant trend highlighted in the report is the increasing prevalence of data scientists in hybrid roles—embedded within specific business units but reporting to a centralized team. This year, 40% of respondents reported working in such roles.
Programming languages remain crucial for data scientists, with Python leading the pack. However, soft skills and data collection abilities are also becoming increasingly important, according to the survey.
The report indicates a growing use of machine learning platforms, with 8% of respondents using them exclusively—a number that has doubled since last year. Despite this, 92% of data scientists still rely on programming skills, either wholly or partially.
One of the most compelling findings is the increasing yet misunderstood role of mathematical optimization in data science. Of the 63% of respondents who claim to understand mathematical optimization, only 57% could correctly define what it is. This gap in understanding underscores the need for further education in this area.
“We’re at a pivotal moment in the field of data science, where the integration of mathematical optimization and machine learning is opening new frontiers for decision-making and problem-solving,” explained Gurobi CEO Duke Perrucci. “Our 2023 report not only highlights the evolving skill sets and roles of data scientists but also underscores the critical need for a deeper understanding of mathematical optimization. As we move forward, it’s clear that the synergy between these advanced technologies will be instrumental in driving smarter, more effective solutions for businesses worldwide.”
Visit the Gurobi website to download a copy of the 2023 State of Mathematical Optimization in Data Science Report.
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