
Superhuman Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 20 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Superhuman.
Data Scientist
It was really well run! Steps: 1. Recruiter screen: was very relaxed and just talking about work background and what I was interested in. 2. Technical screen #1: Recruiter gave great materials on what to expect for this & ideas on how to prepare 3. Technical screens #2 & #3: Another round of technical screens that went well. It didn't feel like people were trying to trick me. 4. Technical Screen #4, Hiring manger interview, & x-functional: Again, recruiter gave great materials to prep, and it felt like the team wanted me to bring my best self, not trick me.
- Can you interpret these graphs?
- How would you interpret the results of this experiment?
Data Scientist
I first had a 30-minute chat with the manager, then I received a take-home test that I had to complete within a week. After submitting it, I got rejected about a week later without any feedback. I really dislike take-home tests because they don't respect candidates' time. This one had 4 questions that required a lot of analysis in a Python notebook. The questions were intentionally open-ended to make candidates spend more time polishing their answers and considering alternatives, which I regret. A major issue is the unfair time investment - candidates spend hours on it, while the company might spend only 10 minutes reviewing. It's not like a typical interview where both sides invest similar time to assess mutual fit. In the future, if I'm asked to do a take-home test, I'll withdraw my application as it's not worth the time and there are better uses for it.
- Conduct an analysis of the 'ping' data and provide some recommendations based on your findings.
Data Scientist
It was a 1 hour interview to talk about my past work, find out about the job and team, and answer some product case questions. Then a 45 minute interview with SQL questions and product/business case questions. After that, a 1 hr interview to talk about my strengths and areas for improvement throughout my career. Next up was a 1 hr SQL and case study. Then a 1 hr a/b testing case study. Followed by a 45 minute product knowledge interview with a PM. Lastly, a 30 minute interview to talk about what I've liked and disliked in my career. The parts about my professional values and progression were really in-depth and made me think deeply. It was unlike other interview processes I've had, and it really showed how much Grammarly cares about its values. The whole thing went super smoothly. They sent me a really useful interview guide about what to expect and how to get ready for the virtual on-site. The recruiter kept in touch regularly to help coordinate with my other interviews. I really liked talking with everyone and appreciated the focus on analytical thinking and communication.
- How would you design and analyze an experiment to determine if a new product feature met its business objective?
Superhuman Data Scientist Interview Questions
Quoted word for word from Superhuman interview reports.
“How would you interpret the results of this experiment?”
Read reports →“Can you interpret these graphs?”
Read reports →“What is your estimated project duration?”
Read reports →“What is your motivation for joining Grammarly?”
Read reports →“How would you design and analyze an experiment to determine if a new product feature met its business objective?”
Read report →“Tell me about a Standard Data Science Interview in Grammarly's business context.”
Read report →“Can you tell me about your background?”
Read report →“What key learnings did you take away from your past experiences?”
Read report →“Tell me about a project you're really proud of and how it helped the business.”
Read report →Formats, difficulty and experience
Across all 20 Superhuman interview reports.