Lyft interviews three of its data scientists who joined the field through unconventional paths including research in other disciplines like theoretical linguistics, and transportation and industry experience in sectors like finance. These data scientists highlight their personal challenges and surprises in transitioning to data science in the industry, including learning the on-the-job details of A/B testing and needing to work in a cross-functional, collaborative manner. They also offer advice to others who are interested in pivoting to data science.