What's the Life Cycle of a Data Scientist?

Explore the dynamic world of data science through an insightful interview featuring three experienced professionals. Gain a comprehensive understanding of what it takes to be a data scientist, delve into their daily routines, and uncover the multifaceted nature of the field beyond data collection and analysis. Learn from Ekaterina Sirazitdinova, a Computer Vision and Deep Learning expert at NVIDIA, Prayson Daniel, a Principal Data Scientist at NTT DATA, and Nicholai Stålung, a Lead Data Scientist at Trifork, as they share their expertise and experiences. Discover recommended books to further your knowledge in reinforcement learning, machine learning design patterns, and practical applications in computer vision. Whether you're aspiring to enter the field or looking to expand your current data science skills, this 28-minute discussion offers valuable insights into the life cycle and career path of a data scientist.