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Fetch Rewards

Mid-sized

Fetch Rewards is a consumer rewards and shopping app that allows users to earn points by scanning receipts and redeem them for gift cards and other rewards. It is known for being one of the most popular consumer loyalty and rewards platforms in the United States, partnering with numerous brands and retailers.

3 interview notes · updated Jul 2026

Fetch Rewards·Data Scientist·Technical Phone Screen

Jun 2026
Fetch Rewards data scientist interview, one round, ambiguous problem with two interviewers who barely said a word the whole time. The whole thing felt like a test of whether you'd panic or just keep moving.
  • You have 45 minutes, two interviewers who give you almost nothing, and a vague problem. How do you open the session to set a clear agenda, confirm what decision the analysis is meant to support, and propose a success metric with guardrails?
  • When interviewers are unresponsive, how do you handle logging your assumptions so they're visible, and how do you push for confirmation without it becoming awkward?
  • If the interviewer asks for an 'average' but you think the right approach is to compute totals first and then derive ratios, how do you handle that disagreement without losing momentum or annoying them?
  • Describe how you would structure two explicit checkpoints during the interview (say, around the 10-minute and 30-minute marks) and what you do if the interviewers stay silent at both.
  • How do you close out the session: summarizing your findings, surfacing risks, proposing next steps, and explicitly asking for alignment on your conclusion?

“This is the part I always underestimate.”

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Fetch Rewards·Data Scientist·Take-home Assignment

Jun 2026
Got a take-home style SQL problem from Fetch Rewards for a Data Scientist role. The whole thing was built around a beverage company dataset and whether Q2 2024 actually declined, which sounds straightforward until you realize how many ways you can mess up the grain or get tripped up by same-store logic.
  • Given a transactions, stores, and products schema for a beverage company, write a single ANSI SQL query that produces a quarter-over-quarter comparison table (Q2 2024 vs Q1 2024, and Q2 2024 vs Q2 2023) including overall revenue and unit metrics, same-store revenue change restricted to stores open for the full duration of both periods, and a decline flag triggered when both revenue and units drop more than 5%. The query must avoid grain duplication from joins and must compute period-level sums before deriving any ratios.

“This one took me longer than I expected.”

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Fetch Rewards·Data Scientist·Technical Phone Screen

Apr 2026
Fetch Rewards data scientist interview with a meaty open-ended case study about validating a business claim using a single transactions table under time pressure. The question was layered enough that I kept second-guessing whether I was going deep enough or just spinning my wheels.
  • A beverage company says Q2 sales dropped. You have only a transactions table and 45 minutes. Walk through how you'd rigorously validate or refute that claim, covering metric choice, analysis grain, step-by-step plan, sanity checks, outputs, and what additional data you'd request if you had more time.

“This one is basically a full case study compressed into a single prompt.”

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