
Hopper Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 19 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Hopper.
Data Scientist
It's rare to experience good interview processes these days, but they did a great job. They provide all of the tools you need to succeed in the interview process, they give feedback, and you get a sense that they want all their candidates to succeed. Everyone was very pleasant to talk to, overall it was a positive experience despite not walking away with an offer
- Can you share details about your past work experiences and the specific responsibilities you held in those roles?
Data Scientist
I went through a bunch of interviews with Hopper, like 5 in total, but didn't end up getting an offer. The first interview was followed by a homework assignment that I thought was pretty cool. Each part of the assignment felt like it was related to real stuff they were doing at Hopper. I was moved around to different teams to see where I'd fit best, and eventually had a remote interview with a VP. I might have messed up some answers since I didn't get the job. Because the process took so long and the homework problems were kind of specific, I can't help but feel like they might have been using applicants for ideas, like getting free consulting. Or maybe I'm just bummed I didn't get the role ;)
- What are your thoughts on how to improve the click-through rate for a specific section of the app's interface?
- If you had to model revenue for a business scenario with several independent variables, how would you approach it?
- Considering the provided options, which one do you think would generate the most revenue?
Data Scientist
Started with a quick chat about my background and interests, and the job. Then I got a take-home task, which was basically their business problem and I could take as much time as I wanted. I sent it back after a few days and then went in for the on-site. The on-site interview was a bit of a curveball with 2-3 whiteboard questions, which were essentially logic and probability puzzles. This last part wasn't great because (a) these kinds of whiteboard riddles don't really mirror the day-to-day work of a data scientist (I haven't seen any in my actual job...), and (b) it made me wonder about the team's culture (it felt like a 'smarter than you' vibe, which isn't my thing).
- What motivated you to apply for this position?
Hopper Data Scientist Interview Questions
Quoted word for word from Hopper interview reports.
“Given the results of the A/B test with four tip variants (pre/post booking, variable amount/toggle) against a control, where total revenue per user is the primary metric, which variant yielded the best performance?”
Read reports →“What new revenue streams could these ideas create?”
Read reports →“Considering the provided options, which one do you think would generate the most revenue?”
Read reports →“Using the drivers you've identified, how would you formulate a model to predict net revenue?”
Read reports →“What would signify a successful outcome for this initiative?”
Read report →“If we were to develop feature x, what four key performance indicators (KPIs) would you monitor to assess its performance?”
Read report →“Based on the key drivers you identified, what factors should be adjusted to achieve the revenue maximization goal?”
Read report →“Can you suggest 1-3 hypotheses or ideas to boost the shopper conversion rate?”
Read report →“In what ways could conversion be enhanced?”
Read report →Formats, difficulty and experience
Across all 19 Hopper interview reports.