KAYAK Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at KAYAK.
KAYAK
Data Scientist
Entry Average Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen Phone screen
Interview formats
Behavioral Technical
The hiring process started with an initial overseas call with HR, then a technical and quantitative interview, followed by a hiring manager call. The offered salary seems a bit low. But overall, it was a good experience.
Confirmed questions1 question
- What makes you interested in this role?
KAYAK
Data Scientist
Senior Average Negative experience No offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Case Technical
The team was good, but the interview process was terrible! I endured 4 hours of interviews with the team and got positive feedback. The final stage involved a whole unpaid day in the office to observe me working. Despite this strange request, I offered several dates and even suggested coming in for a few hours on different days. They then ghosted me for a week and sent a rejection email without explanation. It was a complete waste of my time and very disrespectful.
Confirmed questions2 questions
- Walk through some case studies on ML features at Kayak, followed by an ML theory grilling session.
- Discuss ML theory.
KAYAK
Data Scientist
Mid Average Positive experience Accept offer 2 rounds
Interview process
Phone screen Onsite
Interview formats
Technical Coding Behavioral Presentation
So I had a 30 min phone screening first, then a 5-hour on-site. The phone screen was quick, just covering stats, ML, SQL, OO, and UNIX basics. The on-site was pretty long, like 5 hours, where I met the whole Data Science team. We talked about my projects and past jobs. They threw in some stats and SQL problems on a whiteboard, and asked general ML questions too. It was a marathon, but totally worth it. They were good about making sure it wasn't too much, though.
Confirmed questions1 question
- How would you construct a diversity index for NYC restaurants, considering their cuisine type and other provided details?
KAYAK Data Scientist Interview Questions
Quoted word for word from KAYAK interview reports.
“How would you construct a diversity index for NYC restaurants, considering their cuisine type and other provided details?”
Read reports →“Walk through some case studies on ML features at Kayak, followed by an ML theory grilling session.”
Read reports →“Can you discuss data science problems and algorithms?”
Read reports →“What makes you interested in this role?”
Read reports →Formats, difficulty and experience
Across all 5 KAYAK interview reports.