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Rue Gilt Groupe Data Scientist Interview Questions
& Process

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

Based on 6 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
66.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Rue Gilt Groupe.

Showing 3 of 6
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Rue Gilt Groupe

Data Scientist

Analytics · a year ago

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

The interview process involved three stages. First, there was a 30-minute chat with the recruiter where I had to give a summary of my background and experience, talk about my familiarity with the tools and languages from the job description, explain a project I was proud of, and discuss my willingness to relocate. Then, I had a 30-minute meeting with the VP of Machine Learning and Data Science. We introduced ourselves, and I had to explain a machine learning project I completed from start to finish. I also discussed my interest in the role, given it was a bit different from my previous experiences, and shared an example of how I communicate my work to non-domain experts. This part was a free-flowing conversation. Finally, there was an hour-long meeting with the Senior Manager of Data Science, which included a live coding session, questions about statistics and data analysis for starting an ML project, and some basic ML concepts like decision trees and exploding/vanishing gradients.

Confirmed questions8 questions
  • Can you tell me about your experience and background?
  • How familiar are you with the technologies listed in the job description?
  • Describe a project you're proud of.
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Rue Gilt Groupe

Data Scientist

Analytics · a year ago

Mid Easy Negative experience No offer 2 rounds
Interview process
Recruiter call Phone screen Offer
Interview formats
Behavioral Other

The salary for the role in Boston/NYC is $100K-$130K, which seems like a lowball offer in the current market, but I decided to move forward anyway. The first step was a recruiter call, and the recruiter was really nice. They took down my information to pass along. After that, things got rough. The second round was a 30-minute chat directly with the VP of Engineering, which felt like skipping several levels. There was no coding or behavioral questions. It felt like a vibe check, and it made me suspect that management might be controlling and untrusting. The VP spent about 10 minutes asking about me and gave me the rest of the time. We finished early by five minutes. A week later, I got a standard rejection email.

Confirmed questions1 question
  • Walk me through your background.
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Rue Gilt Groupe

Data Scientist

Analytics

Senior Easy Negative experience No offer 3 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Behavioral Technical Coding

The HR reached out to me on LinkedIn and I shared my CV. The first step was a chat with the HR where they asked about my past work, why I was considering a new job, and my salary requirements. After passing that, I had a meeting with the hiring manager. This interview lasted about an hour and covered what the team does and what my role would involve. They also wanted me to discuss my experience and a paper I'd published. Next up was the technical part, which involved writing SQL and Python code live.

Confirmed questions2 questions
  • Can you write SQL queries?
  • Can you do Python programming live?

Rue Gilt Groupe Data Scientist Interview Questions

Quoted word for word from Rue Gilt Groupe interview reports.

What initial analyses would you conduct on a big dataset prior to beginning a machine learning project?

Read reports

How would you approach a DL recommender system conceptually?

Read report

Can you tell me about applying DL NLP to recommendations?

Read report

Formats, difficulty and experience

Across all 6 Rue Gilt Groupe interview reports.

Interview formats

Technical 31.2%
Coding 31.2%
Behavioral 25%
Other 6.2%
Case 6.2%

Interview difficulty

Easy 33.3%
Average 66.7%
Difficult 0%

Candidate experience

Positive 66.7%
Negative 33.3%