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Faire Data Scientist Interview Questions
& Process

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

Based on 24 interview experiences · FREE TO READ

2.5 Rounds average
Difficult Typical difficulty
29.2% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Faire.

Showing 3 of 24
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Data Scientist

Analytics · a year ago

Senior Difficult Positive experience No offer 3 rounds
Interview process
Recruiter call Background check Offer
Interview formats
Behavioral Presentation Case

So first, I talked with the hiring manager for a behavioral chat, I got asked some behavioral questions like "What is a difficult challenge you’ve encountered?" and "How do you handle conflicts with others?". After that, I had to present one of my past projects, talking through the problem, how I approached it, what challenges I faced, and what the outcome was. Lastly, they gave me a case study on a real-world problem that the data scientists at Faire deal with every day.

Confirmed questions3 questions
  • Could you tell me about a project you worked on?
  • Can you describe a project you completed?
  • Tell me about a project you did.
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Faire

Data Scientist

Analytics · more than a year ago

Mid Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Behavioral Coding Technical

Started with a hiring manager phone call. Then, there was a DS/algorithm coding interview. After that, an ML case study interview that included ML coding in a notebook. Didn't have enough time during the ML interview to go over all the steps.

Confirmed questions2 questions
  • Can you describe your experience with relevant ML projects?
  • Can you elaborate on your previous projects?
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Faire

Data Scientist Intern

Analytics · more than a year ago

Intern Average Neutral experience No offer 3 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Coding Technical Behavioral

So first up was like this online coding test in Python, basically testing how well I can do data manipulation stuff. Then I had interviews where we talked about my past projects with some senior data scientists. They really got into the weeds about the technical details and what the outcomes were for those projects. It was to check my technical skills, how well I can explain things, and if I'd fit in with the data science team and company culture.

Confirmed questions1 question
  • Can you explain sequential testing and its implementation?

Faire Data Scientist Interview Questions

Quoted word for word from Faire interview reports.

Could you calculate the MSE for a linear regression model using LOOCV on the provided dataset?

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What were the data science multiple choice questions about hand calculating the results of linear regression like?

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Can you explain sequential testing and its implementation?

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Could you detail the sequential testing procedure specifically for A/B testing?

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Formats, difficulty and experience

Across all 24 Faire interview reports.

Interview formats

Technical 42.3%
Coding 25%
Behavioral 25%
Case 5.8%
Presentation 1.9%

Interview difficulty

Easy 12.5%
Average 41.7%
Difficult 45.8%

Candidate experience

Neutral 33.3%
Negative 37.5%
Positive 29.2%