
Deliverr Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 16 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Deliverr.
Data Scientist
So there are 4 steps in the interview process. First, a technical screening on Woven with 2 questions. Second, a phone screening with a recruiter. Third, a technical screening with the head of data science. Fourth, the final interview round with 4 different managers.
- The first technical screening will test your ability to debug and problem solve, and write SQL queries.
- The second technical screening will go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution.
- It is done on a virtual whiteboard and facilitated as a conversation with the interviewer.
Data Scientist
Applied online and got a technical assessment invite a few days later. Completed the test the same day. Two days later, got an email to schedule a recruiter video call. Due to limited availability, the screening call was scheduled 8 days out. On the original date, the recruiter had to reschedule last minute, which postponed the call to the following week. Finally spoke with the recruiter after waiting half a month since the test. The call went well, but the recruiter mentioned the team would review my resume to decide on next steps. I was rejected the day after the screening call. While rejection due to background/experience mismatch is understandable, reviewing resumes only after the test and screening seems like a waste of time, as it could have been done initially.
- What motivated your application for this role?
- Could you provide a summary of your resume?
Data Scientist
It started with a take-home test that included a debugging task and a medium SQL problem. Then, I had a chat with the recruiter about the position and my background. The next step was a 1-hour SQL technical interview, which surprisingly wasn't very SQL-focused. It was more about my problem-solving approach, like a behavioral interview, checking if I could think through a problem and work backward to find a solution, aligning with a company value. I found this round challenging because it seemed to require specific domain knowledge, making it hard to fairly assess my thinking. I was quite confused about what I was answering and hadn't experienced anything like it before. However, I did manage to write a SQL query and explain it thoroughly. My advice would be for the company to refine how they evaluate candidates in this stage. The interviewer did say I did a good job considering the circumstances. If I had passed this, the next step would have been a final interview with the data science team.
- Can you tell me about the tables, input features, output features, and their relations, and how would you write a SQL query for this?
- Can you explain the SQL query you wrote and how it works?
Deliverr Data Scientist Interview Questions
Quoted word for word from Deliverr interview reports.
“Can you provide a SQL query and the required input data to determine how many orders each seller has placed with us?”
Read reports →“Can you explain the 'try and except' block in Python?”
Read reports →“Given 3 tables, how would you identify the top 3 individuals who participated in meetings together?”
Read reports →“What information do you need to provide to get the output of the number of orders each seller has made with our company?”
Read reports →“Can you debug an issue within a dataset?”
Read report →“Can you explain the SQL query you wrote and how it works?”
Read report →“What are your thoughts on logic problems?”
Read report →“Can you tell me about the tables, input features, output features, and their relations, and how would you write a SQL query for this?”
Read report →“How do you approach data analysis?”
Read report →Formats, difficulty and experience
Across all 16 Deliverr interview reports.