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SimilarWeb Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 15 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
46.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at SimilarWeb.

Showing 3 of 15
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Data Scientist

Analytics · a year ago

Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Coding Case

The interview process started with a recruiter call, followed by a team interview that included a coding assignment, and then a case study. Honestly, it was quite a bad experience. The recruiter seemed disorganized and often took two weeks to respond, requiring multiple follow-ups. In each call, they weren't clear about my status or what I'd already completed. After submitting the case study, the feedback was simply that it "wasn't good enough." Despite multiple requests for more detailed feedback, I was ignored. The level of unprofessionalism was astonishing.

Confirmed questions1 question
  • Perform a clustering task to group similar websites.
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SimilarWeb

Data Scientist

Analytics · more than a year ago

Senior Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Coding

Had a good overall experience. The whole thing took about 2.5 weeks, which was fine since I wasn't in a hurry. Started with a quick 20-min HR chat, then a 20-min intro call with a team member where they asked a technical question. After that, there was a 1.5-hour technical interview with two team members. Finally, I had back-to-back onsite interviews with different people from the department and HR. I really appreciated how the recruiter stayed in touch throughout, checking in on how I was doing and giving updates on what was next. The take-home assignment was also pretty good, not like a huge extra project, and felt respectful of my time.

Confirmed questions1 question
  • Given that the probability of a single match being defective is p and the probability of a matchbox being defective is q, if we attempted to light a match and it failed to ignite, what is the likelihood that the subsequent match we try will ignite?
SimilarWeb logo
SimilarWeb

Data Scientist

Analytics · more than a year ago

Entry Difficult Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

The process started with the usual "tell me about yourself" question. Then, the interviewer focused solely on probability questions and asked me to write algorithms based on probability case studies, like the example provided.

Confirmed questions2 questions
  • Could you start by telling me about yourself?
  • Imagine a maze with three paths, only one of which is correct. How would you design an algorithm to ensure an equal probability of selecting each path on every attempt?

SimilarWeb Data Scientist Interview Questions

Quoted word for word from SimilarWeb interview reports.

Given that the probability of a single match being defective is p and the probability of a matchbox being defective is q, if we attempted to light a match and it failed to ignite, what is the likelihood that the subsequent match we try will ignite?

Read reports

Could you write a function that takes an array and returns an element from it, based on a provided function that generates a number between 0 and 1 with uniform distribution?

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Can you tell me about polynomial linear regression and overfitting?

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Imagine a maze with three paths, only one of which is correct. How would you design an algorithm to ensure an equal probability of selecting each path on every attempt?

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How did you verify the validity of your project implementations?

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How would you approach theoretical problems in real-life scenarios?

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Formats, difficulty and experience

Across all 15 SimilarWeb interview reports.

Interview formats

Technical 37.8%
Coding 27%
Behavioral 24.3%
Case 5.4%
Presentation 2.7%

Interview difficulty

Easy 0%
Average 66.7%
Difficult 33.3%

Candidate experience

Positive 46.7%
Negative 33.3%
Neutral 20%