Andrew Dabydeen studied Operations Research & Engineering for his Bachelor's at Cornell University — with a heavy curriculum towards statistics and computer science. Post-undergrad, he decided to get consulting experience at Accenture. After gaining a breadth of experience across multiple industries and seeing various roles in the data space, he pursued his Masters in Data Science at Brown.

Since Brown, Andrew has worked at Shutterstock and is now currently a Data Scientist at Peloton. In this episode, you'll hear Andrew go deep on:

0:00 Intro

1:10 Thinking About Careers at Cornell

2:50 Time at Accenture

6:12 Deciding What to Do Next

8:57 Choosing MS in Data Science at Brown

12:14 What’s the MS in Data Science at Brown like?

15:15 Recruiting into Data Science

18:37 Interviewing at Companies in Different Stages

21:29 Biggest Piece of Advice in Interview Process

24:13 Day-to-day as a Data Scientist

26:30 How do Data Scientists Prioritize Work?

28:23 Data Science Stakeholders

30:17 Career Progression

33:56 What is Machine Learning Engineering?

36:10 Is a PhD the only way to get into machine learning engineering?

38:39 Actionable Advice for Learning Data Science

41:35 Closing Thoughts from Andrew