How many rounds is the Drw Data Scientist interview process?

Candidates report 3 stages: Online Assessment, Technical Screen, and Final Rounds. The interview process section above breaks down what each stage covers.

What topics come up in the Drw Data Scientist interview?

Drw Data Scientist interviews most often cover Probability (Bayesian and general), Statistics, Linear Regression, Linear Algebra, and Machine Learning fundamentals, based on topics extracted from real candidate reports.

What questions does Drw ask Data Scientist candidates?

Recent candidates report questions like "Window Functions for Running Totals" and "Evaluate Predictive Power of a Model". The question bank above tracks 20 questions for this role, ranked by how often they come up in Drw interviews.

DrwData Scientist

Updated Jan 4, 2023

Drw Data Scientist Interview Experiences 2026

Real, anonymous reports from people who interviewed for Data Scientist at Drw, newest first and distilled into what to expect across the loop.

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Hot & recentNewest first

> 1 year

Average Neutral Canada

I joined the process through a referral and then received an email about a week after applying. After that, I was given a 90-minute coding challenge and had to complete it within three days. The challenge mixed two LeetCode-style problems with three basic multiple-choice machine learning questions.

I felt like I handled the coding section reasonably well, and my answers on the ML questions were also decent. Still, I didn’t receive any further interviews. The experience left me thinking the evaluation was strict and possibly fast-moving—if anything was slightly off, it didn’t lead to follow-up conversation or a chance to correct course.

> 1 year

Difficult Negative Singapore

Before I even reached an interview round, I had to pass a math/stats/programming test and also complete an intermediate programming assignment. Once I got through those hurdles, I finally got to speak with someone, and the process shifted quickly into very technical territory.

The first interview focused much more on general background questions, with relatively few direct technical questions. But the next round was completely different: it leaned hard into topics tied to classes from college, and the questions got highly specific. Regression showed up, along with probability, Monte Carlo simulations, stochastic calculus, and I remember it being framed in a way that expected real depth, not just surface-level familiarity. I’d been expecting something more programming-oriented, so when the math intensity hit, I found myself thrown off and not as prepared for that level of specificity.

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What to expect

Distilled from the reports

Online Assessment

Candidates typically start with a math-heavy online assessment focusing on probability, statistics, and sometimes programming, with strict time limits and a high difficulty level.

ProbabilityStatisticsTime pressure

Technical Interviews

Subsequent interviews often involve technical discussions that cover a range of topics including linear regression, machine learning, and market-specific problems, requiring candidates to demonstrate both depth and clarity under pressure.

Linear regressionMachine learningMarket analysis

Interview Structure & Flow

The interview process generally consists of multiple rounds, often starting with a phone screen followed by several Zoom interviews, which may include a mix of technical and behavioral questions.

Zoom interviewsPhone screenMultiple rounds

Math and Problem-Solving Focus

Interviews emphasize quick, accurate problem-solving skills, often with a 'math-first' approach, where candidates are evaluated on their ability to reason through complex quantitative problems in real-time.

Problem-solvingQuantitative reasoningMath-intensive

Behavioral & Fit Questions

Initial conversations often include behavioral questions about the candidate's background and motivations, but the focus quickly shifts to technical skills in later rounds.

BehavioralMotivationBackground

Feedback & Outcomes

Candidates often report a fast-paced evaluation process with quick feedback, sometimes leading to rejections shortly after interviews, leaving little room for follow-up or clarification.

Fast feedbackRejectionEvaluation process