Motmans & Partners Data Scientist interview typically runs 4-6 rounds: recruiter/phone screen, technical screen, onsite technical rounds, behavioral, and hiring manager call. The process usually takes a few weeks and is structured, with SQL-heavy live coding often done in CoderPad.
$33K
Avg. Base Comp
$79K
Avg. Total Comp
4-5
Typical Rounds
3-5 weeks
Process Length
We’ve seen a very consistent pattern in Motmans & Partners’ data scientist interviews: the company cares less about flashy theory and more about whether you can work through real data problems cleanly, especially when the pressure is on. Multiple candidates described the process as polite and organized, but also very syntax-sensitive once SQL came up. That shows up in questions like top violations by submissions, finding songs played by a user, and live CoderPad exercises where the interviewer watched every step. The bar isn’t trickery; it’s whether your query is correct, efficient, and easy to follow in real time.
A recurring theme is that they want candidates who can connect analysis to business decisions without drifting into vague product talk. Our candidates report metric-drop investigations, product sense prompts like improving FB Dating, and case-style questions about how to measure impact or diagnose a sudden decline in a core metric. The strongest responses were structured and practical: break down the problem, name plausible causes, and explain how you’d validate them. That same preference shows up in the technical rounds, where classic ML and stats questions were used to test depth and breadth rather than niche memorization.
What tends to make or break candidates here is not whether they know every advanced concept, but whether they can stay crisp under observation and keep their reasoning grounded. One candidate who received an offer noted that the process felt standard but demanding, while others who missed out pointed to the live SQL round as the hardest part. In other words, clean execution matters as much as knowledge. If your answers are scattered, or your SQL is correct only after several false starts, that seems to be where this process gets unforgiving.
Synthetized from 3 candidates reports by our editorial team.
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Real interview reports from people who went through the Motmans & Partners process.
The hardest part for me was the SQL round, even though the overall process was pretty straightforward. I went through a full virtual onsite with four rounds, all on the same day, though I was given the option to split them up. Before that, there was a phone screening where HR explained the company, the role, and the interview process, and even pointed me to sources to prepare. That part felt organized and polite, which set a good tone going in.
The onsite itself was about an hour per round and covered behavioral, stats, SQL, and product sense. The behavioral round was standard, with a question about a challenge I had faced before. The stats round stayed at a fairly classic level, and the technical interview focused on usual ML questions that tested depth and breadth rather than anything exotic. The SQL round was the most demanding for me because it was very syntax-sensitive and the interviewer expected an efficient query in the language/database shown in CoderPad. One question was along the lines of calculating the top 10 post policy violations based on number of submissions, which pushed me to think carefully about grouping and ranking. The product case study round also included coding in my chosen language. Overall, the interviewers I had were polite and helpful, and the process felt fair, but there was not much room for mistakes on the SQL side. I didn’t get an offer, so my main takeaway is to prepare for classic ML and stats questions, but spend extra time on clean, efficient SQL and being ready to explain your approach clearly before or after coding, depending on the interviewer.
Prep tip from this candidate
Drill classic SQL ranking/grouping problems like the top-10 violations query, and practice explaining your solution both before and after writing code. Also be ready for standard ML depth/breadth questions plus a separate stats and product-sense round in the same day.
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Topics based on recent interview experiences.
Featured question at Motmans & Partners
Given a string, write a function to determine if it is palindrome or not.
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Synthesized from candidate reports. Individual experiences may vary.
An HR or recruiter call to walk through your background, what you are looking for, and the role/company overview. In at least one experience, the recruiter also explained the interview process and shared preparation resources, making this an organized first step.
A live technical screen that is heavily SQL-focused, often with two SQL questions and sometimes a short case study. Candidates are expected to write correct queries rather than only explain the logic, and the case portion tests analytical thinking and product sense.
A full virtual onsite made up of four interviews, which could be completed in one day or split across multiple days. The rounds typically cover behavioral, statistics, SQL, and product sense or analytical reasoning, with live coding in CoderPad and practical business-style questions.
A final conversation with the hiring manager after the main interview loop. This appears to be a wrap-up discussion that follows the onsite-style rounds before the final decision.