State of Mathematical Optimization in Data Science 2024

Today’s data scientists play a critical role in shaping data-driven strategies that guide organizations to success. But as their field continues to evolve, data science professionals must ensure they have the right tools and approaches to tackle increasingly complex problems.

The State of Mathematical Optimization in Data Science 2024 report, based on a survey of 1,086 data science professionals, offers a comprehensive view of the latest trends, challenges, and opportunities shaping the field, with a special focus on the role of mathematical optimization.

What’s Inside?

• Trends in Training and Education: Explore the diverse educational pathways of data scientists, with the number of self-trained data scientists rising and advanced degrees declining among our respondents.
• Business-Driven Skill Development: Learn how organizational needs are shaping annual training plans and internal training programs for data scientists.
• Mathematical Optimization Meets Machine Learning: Discover how the combined use of these tools is helping data scientists better tackle challenges like supply chain management, fraud detection, and customer behavior modeling.
• The Rise of Low-Code Platforms: As no-code and low-code tools gain traction, the balance between coding expertise and simplified workflows is shifting.
• Rethinking “Good Enough” Solutions: While heuristics remain a popular method for solving problems, many data scientists are exploring mathematical optimization for more precise and impactful decision-making.

Read the Full Report

Download the full report to unpack these insights and uncover how mathematical optimization is shaping the future of analytics.