Real, anonymous reports from people who interviewed for Data Scientist at Superhuman, newest first and distilled into what to expect across the loop.
After applying, the process felt pretty smooth overall even though I didn’t end up getting an offer. It spanned about two months from start to finish, and I moved through an online assessment, an initial HR call, then coding, and finally a last round.
My interviews felt very organized and mostly technical. The biggest theme was string manipulation questions, and the sessions themselves were handled with a clear flow, so it didn’t feel like I was being thrown into a guessing game. I genuinely enjoyed speaking with the team, and the interviews went well.
The interview process typically spans about two months, involving an online assessment, HR call, coding round, and a final interview, with a generally organized and steady progression through the stages.
Candidates can expect a focus on technical skills, particularly in object-oriented programming and string manipulation, with coding tasks designed to assess problem-solving and reasoning rather than just syntax.
Some interviews include a live coding session centered on SQL, but candidates have noted a lack of real datasets, which may not fully demonstrate their capabilities in a data science context.
The interviews generally maintain a friendly tone, with a focus on product-oriented case discussions and A/B testing, although some candidates felt there was a mismatch in expectations regarding the role's requirements.
Candidates frequently report a lack of feedback and communication throughout the process, particularly after coding tasks or take-home tests, which can lead to frustration and a feeling of imbalance in the candidate experience.
The final decision can sometimes feel abrupt or out of the candidate's control, with reports of unexpected rejections after seemingly positive interviews, contributing to a disappointing end to the process.