Kirill and Syafri discuss the importance of foundational mathematics for data scientists, particularly in ambiguous projects where first principles are essential. Syafri emphasizes that understanding the basics allows for better problem definition and model selection, especially in a dynamic environment like Gojek. He also notes that while deep mathematical knowledge may not be critical for all roles, it remains crucial for tackling complex challenges.
