Glassdoor users rated their interview experience at Wolt as 100% positive with a difficulty rating score of 2 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Operations Associate and rated their interviews as the hardest, whereas interviews for Operations Associate and roles were rated as the easiest.
The hiring process at Wolt takes an average of 30 days when considering 1 user submitted interviews across all job titles. Candidates applying for Operations Associate had the quickest hiring process (on average 30 days), whereas Operations Associate roles had the slowest hiring process (on average 30 days).
4 interview rounds including data analysis and presentation based on excel sheet provided. Case studies for shortening delivery time was also a part of the interview. Culture is a big part of Wolt culture so they take ownership and team. work very significantly.
Interview questions [1]
Question 1
Q. How do you brand the image of food delivery Q. How to determine which area to close when the orders are high
Comprehensive but great interview process! Very good to meet people from across the business and not only from your own team. You really got a sense of the business as a whole and not only the department where you are going to work. Really good!
Interview questions [1]
Question 1
What’s a challenge that you faced on your previous job and how did you solve it?
I applied online. The process took 2 months. I interviewed at Wolt (Berlin)
Interview
The process consists of 4-5 rounds: -HR round just to explain briefly your interests in the position and your experience. -Interview with the Director of Data Science. It's just more behavioural and talking about previous experiences but more detailed than the previous one. Don't need to prepare anything, just try to be kind. -Home Task Assignment. This depends on the type of role, in my case was Personalisation and Search. They provided a dataset with 4k user sessions data alongside a venue dataset with some info about the restaurants(rating, conversion rate, impressions...). The challenge was divided into 4 main tasks and it is the typical DS assignment: EDA, Modelling part (in this case you needed to create learning to rank model: first a baseline like a ranking sorted by popularity and then a ML-based model) and conclusions focused overall in detecting bias such position or popularity ones. I couldn't finish the task at time because I had some doubt about the way the data was given and how it could be used and they were flexible and gave me one more week(even this was estimate for a one week deadline). Also you need to prepare a complementary presentation. - Technical Interview: If you have passed the case study, then you are moved to the technical interview. Theoretically you should present the case but that was not my situation. On the other hand, the asked some foundational questions about ML basics like data leakage, confusion matrix and get the probability from a classifier problem (Bayesian rule) and other simple questions about recommendation and ranking. Please, prepare this part because they don't warn you about this and you can think is about the case presentation and is not the case. -5th round: I don't know exactly how this is because I didn't reach this stage. But I think is something with a higher level manager or meet the team round to have some match with you. In general the people is great and the process is somehow smooth but it take long time and specially the tech interview could be disappointed. You can feel that if you take more time answering something or give you some hints this could be the ultimate factor to withdraw your application although your case study was satisfactory. In my opinion, when there are multiple candidates in this last stage, this small details marks the difference, making all your previous work worthless. I think it should be more balance towards the case study because it is closer to what you might expect in the potential role rather than questions that could be checked and studied with resources. This is my complaint about the hiring process. Finally, I received some kind of soft rejection saying that I could be a good fit and this doesn't mean the end of our relationship but after confirming that I would be interested in continuing being in touch, I didn't receive any answer. Quite hypocritic from their side. Make a good case study to raise the bar and prepare some foundational concepts about DS and specially some basic for your specialty.
Interview questions [5]
Question 1
1: How would you add additional user/item features in a factorization matrix for recommenders?
3: You have website/place that gets 10% of conversion. Given a classifier model that predicts if an user will convert or not, with a true positive rate of 1 and true negative of 0.5. Say which is the probability of getting true positive values.