Cabify Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Cabify.
Cabify
Data Scientist
Mid Difficult Negative experience No offer 4 rounds
Interview process
Recruiter call Take home Technical screen Presentation Background check Offer
Interview formats
Behavioral Coding Technical Presentation
The process starts with an initial chat with HR. Then, there's a challenging 2-week take-home assignment with two problems. You submit your solutions (docs, notebooks, etc.), and if they're good, you move on. Next are three 1-hour technical interviews with the data science team, one of which is in English. Each of these interviews includes 30 minutes dedicated to Cabify's principles and competencies, where you'll share experiences applying them. The other 30 minutes involve reviewing your take-home challenge, presenting a past project, or solving a problem they propose with follow-up questions. Lastly, there's a 30-minute session for you to ask questions. It's a demanding process, about medium-high difficulty and quite long (nearly 3 months in my case for phase III results), requiring a lot from the candidate, while the feedback and support from their side were somewhat erratic and inattentive in my experience.
Confirmed questions7 questions
- Tell me about your background, what interests you, and if you're a good fit, including salary expectations and on-site availability.
- How would you design a full testing experiment for a new app feature?
- Write code for an ML classification model using a dataset with geospatial information.
Cabify
Principal Data Scientist
Staff Average Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral
very casual interview process, asking for salary expectations and previous work experience. The HR was almost reluctant to do the interview.
Confirmed questions3 questions
- What are your salary expectations and why do you expect them?
- Can you describe your previous work experience?
- What makes you want to join cabify?
Cabify
Data Scientist
Senior Average Positive experience Decline offer 4 rounds
Interview process
Recruiter call Take home Technical screen Technical screen Group
Interview formats
Technical Presentation Behavioral
First, a recruiter call with HR. Then, a take-home project that involves programming, followed by presenting the results and conclusions, which is also a communication exercise. After that, two technical interviews with team members focusing on general data science and problem-solving approaches. Finally, a cultural fit interview with the Head of Department.
Confirmed questions2 questions
- What potential biases can arise in A/B testing, and what steps do you take to mitigate them?
- Can you describe the methods you employ to guarantee the unbiased nature of A/B tests?
Cabify Data Scientist Interview Questions
Quoted word for word from Cabify interview reports.
“Write code for an ML classification model using a dataset with geospatial information.”
Read reports →“What potential biases can arise in A/B testing, and what steps do you take to mitigate them?”
Read reports →“How would you design a full testing experiment for a new app feature?”
Read reports →“What makes you want to join cabify?”
Read reports →“Can you describe the methods you employ to guarantee the unbiased nature of A/B tests?”
Read report →“How would you design an A/B test for a real-world situation?”
Read report →“How would you help us address these issues?”
Read report →“Share examples of how you've applied company principles like humility and owning mistakes.”
Read report →“Tell me about your background, what interests you, and if you're a good fit, including salary expectations and on-site availability.”
Read report →Formats, difficulty and experience
Across all 7 Cabify interview reports.