Criteo Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 28 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Criteo.
Criteo
Data Scientist
Entry Difficult Positive experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Technical Other
First, there was a call with HR. After that, I had to do an online assessment with 24 questions that I needed to complete in 30 minutes and get a score over 50%. Finally, there was an interview that involved brain teasers and some market sizing type questions, but they weren't the typical ones.
Confirmed questions0 questions
No confirmed questions were included in this interview report.
Criteo
Product Data Scientist
Intern Easy Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral Case
So first, you apply online, either through LinkedIn or Criteo's website. If they like your resume and cover letter, they'll probably have you talk to a recruiter over the phone or video. After that, you'll have some interviews with the team, and these might include technical tests, questions about your past experiences, and case studies related to the job. They're trying to see if you have the right skills and if you'd fit in. If everything goes well, you'll get an offer, and then usually a background check.
Confirmed questions1 question
- Can you describe a project you’re particularly proud of finishing?
Criteo
Data Scientist
Mid Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Take home Onsite Background check Offer
Interview formats
Technical Coding Behavioral
A recruiter reached out and walked me through the job and the hiring pipeline. I started with an online test, 30 minutes, 15 questions. The questions covered basic AdTech terms like CTR, COS, and some basic probability. Criteo sends a cheat sheet to help you prep. I passed with over 50%, so they invited me for an onsite interview. First, I met with a hiring manager, then a data expert, each for an hour. Both were super nice and welcoming! The manager first went over the role in more technical detail and then gave me a brain teaser. Then, the data specialist asked a lot of questions about time series, machine learning, etc. Now, the bad part is the lack of professionalism from the recruiter. I was told a recruiter would update me on the results after my onsite. It's been 11 or 12 days since my onsite, and I haven't heard anything back, even after calling her twice and leaving a voicemail. I've just assumed I didn't get the offer. I'm fine with rejections, but the recruiter's lack of professionalism is unacceptable. I spent three days prepping and nearly 2.5 hours on campus. The least I expected was a professional courtesy to let me know I didn't get the job. Criteo should teach its clients how to be more human!!!
Confirmed questions8 questions
- Regarding Neural Networks, what is your approach to dimensionality reduction?
- Can you explain how to model time series using a linear regression approach?
- Is it possible to employ resampling techniques like bagging for estimating the maximum value of a population?
Criteo Data Scientist Interview Questions
Quoted word for word from Criteo interview reports.
“What is the computational advantage of using mini-batch for function minimization compared to other methods?”
Read reports →“What defines a convex function, and how can one mathematically prove a function is convex?”
Read reports →“Following imputation of missing values, how would you represent the resulting time series as a single function using characteristic or indicator functions?”
Read reports →“Could you draw the probability density function of a normal distribution?”
Read reports →“Is it possible to employ resampling techniques like bagging for estimating the maximum value of a population?”
Read report →“What makes bagging an effective strategy for reducing variance?”
Read report →“What is a random variable? Can you provide some examples?”
Read report →“What is overfitting, and what are some ways to address it?”
Read report →“Could you elaborate on the Gambler's ruin problem?”
Read report →Formats, difficulty and experience
Across all 28 Criteo interview reports.