Recruiter Screening (30 mins) General background check Discussion on your experience and interest in Robinhood High-level overview of the role and expectations Behavioral questions on teamwork, communication, and problem-solving Technical Interview (60 mins) Hands-on coding (Python/SQL) Machine Learning/Deep Learning concepts System design for data pipelines & financial models Behavioral Interview (45-60 mins) STAR-based behavioral questions Past experiences aligning with the role Culture fit and how you collaborate with teams Challenges you've faced in data science projects Hiring Manager Round (45 mins - 1 hour) Deep dive into previous projects Understanding of financial models & ML pipelines How you approach ambiguity in problem-solving Career goals and alignment with Robinhood’s mission Final Round - Onsite/Virtual (Multiple Rounds - 3-4 hours) 1:1 Interviews with Team Members (covering collaboration, leadership, and technical challenges)