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trivago Data Scientist Interview Questions
& Process

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

Based on 25 interview experiences · FREE TO READ

3.2 Rounds average
Average Typical difficulty
60% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at trivago.

Showing 3 of 25
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Data Scientist

Analytics · a year ago

Entry Average Positive experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The interview process was well-conducted. However, the first interview felt quite subjective, depending on the recruiter's preferences. This is understandable given the large volume of applicants. It wasn't clear if a team member reviewed the recordings.

Confirmed questions2 questions
  • What makes you interested in our company?
  • What tools are you looking to learn?
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trivago

Data Scientist

Analytics · more than a year ago

Intern Easy Negative experience No offer 4 rounds
Interview process
Recruiter call Take home Onsite Background check
Interview formats
Behavioral Technical Coding

So, it begins with your CV. If they're keen, you'll have a video interview where they ask things like the difference between ML and stats, any fights you've had with colleagues, and your biggest accomplishments. After that, I got an assignment to build a model predicting if a customer leaves feedback. I had 3 days for this, and they liked my model, so I was invited to their Amsterdam office for an hour-long interview. Then, I got rejected because they can't hire PhDs for internships, which is weird since it was in the job ad. It felt like a total waste of my time, though I did learn to avoid this company. It was a really bad experience, and it's a shame they didn't explore options to hire me since I could have sorted my VISA.

Confirmed questions4 questions
  • Can you explain the distinction between machine learning models and statistical models?
  • Describe a situation where you had a disagreement with a coworker.
  • Tell me about your most significant accomplishment.
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trivago

Data Scientist

Analytics

Mid Average Positive experience Decline offer 4 rounds
Interview process
Recruiter call Take home Technical screen Background check Offer
Interview formats
Technical Coding System Design Behavioral

I applied for the role and heard back from the recruiter about a month later. They mentioned Trivago sponsors visas and helps with relocation for international hires, and they seemed knowledgeable about Data Science. We chatted about my motivation and availability. Next, I was given a take-home challenge that included a CPC time series forecasting task and a multi-class classification task. For the classification part, I had to do feature engineering on two datasets to create a single dataset and also provide a system design for this use case after exploring the data. I had 15 days to complete this. They responded within 2-3 days after I submitted my solution, saying it was selected and I was invited for a technical interview. The technical interview was with the Hiring Manager and another Data Scientist. The questions focused on the use-case and Data Science concepts. They were professional and not intimidating. I heard back 3-4 days later that I passed and the final round was a culture fit interview with a Product Manager, Org Lead, and HRBP. After 7-9 days, a Data Science manager offered me the position via Zoom. Overall, the candidate experience was amazing, and the recruiter was responsive and helpful throughout. However, the offered salary was significantly lower than what I expected and what I was earning in India. For comparison, Booking.com offered 20K Euros more in fixed components, plus ESOPs and bonuses, in an interview I had a month prior. Given other opportunities in the EU market, Trivago's offer was impossible to accept. Trivago needs to improve their salaries to attract and retain talent.

Confirmed questions6 questions
  • Can you explain one of the use-cases we discussed?
  • Could you explain the Augmented Dickey Fuller test and what a unit root is?
  • Please explain p-values and any related questions you might have.

trivago Data Scientist Interview Questions

Quoted word for word from trivago interview reports.

What is the cost function of a machine learning algorithm?

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Can you explain the distinction between machine learning models and statistical models?

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Could you explain the Augmented Dickey Fuller test and what a unit root is?

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Could you build a regression model for data with zero inflation?

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What are the methods to mitigate Type-1 error in Hypothesis Testing?

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What are the strategies for dealing with overfitting in a model?

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Can you explain the difference between two ML algorithms?

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Formats, difficulty and experience

Across all 25 trivago interview reports.

Interview formats

Technical 33.3%
Behavioral 25.8%
Case 21.2%
Presentation 9.1%
Coding 9.1%

Interview difficulty

Easy 12%
Average 68%
Difficult 20%

Candidate experience

Positive 60%
Negative 32%
Neutral 8%