DHL Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 11 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at DHL.
DHL
Data Science Intern
Intern Easy Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical
The interview had a pleasant atmosphere and felt like a conversation between equals, which was very nice. It started with general questions about you, followed by technical questions about programming languages you've used.
Confirmed questions2 questions
- Could you describe yourself?
- What programming languages have you worked with?
DHL
Data Scientist
Entry Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Presentation Technical screen
Interview formats
Presentation Technical Case
Application process took around 1 month. Started with an online application, a presentation interview then a technical one. The team was professional, the questions are clear. Be careful with the two things : the timing : try not to spend much time on introductions, try to bring the interview rather to the business case asap, do not focus on providing solutions like 'we should use this algorithm or method', try to develop and logically justify your answer.
Confirmed questions7 questions
- Can you walk me through your projects and the tasks you've handled?
- What's your approach to dealing with missing values?
- What kinds of data have you worked with?
DHL
Data Scientist
Senior Average Negative experience No offer 2 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Behavioral Technical Case
I applied online for the Data Scientist role in early February. The head of business intelligence contacted me first for a 30-minute chat about my motivation and background. Next, the head of data analytics scheduled an hour-long phone interview to review my CV and background again, and then present an analytical case study related to current team projects. This case involved analyzing a market research survey on shipping preferences. I was asked about my approach to data mining, specifically data cleaning, handling null values, and dealing with inconsistent or erratic responses. Then, I was given three percentages: 78% yes for company A, 71% yes for company B, and 48% yes for both. I needed to figure out if these numbers were correct. The interviewer was looking for a Venn diagram approach to show a total over 100%, indicating an issue. While I suggested a data-driven method, the Venn diagram solution was preferred. Finally, I was asked about statistical methods for comparing two populations, like the K-S test or Chi-squared test. The interview ran over an hour, and the interviewer noted that such a business case would be better suited for an in-person discussion with pen and paper. I was asked about my availability for the next three weeks, and they promised a decision on moving forward within a week. Unfortunately, after two weeks with no response, and another two weeks after my follow-up, I received a standard rejection email from the head of business intelligence, with no feedback on the case study. I found this unprofessional, especially given the role wasn't entry-level.
Confirmed questions2 questions
- Considering 78% of respondents agreed to ship with company A, 71% with company B, and 48% with both, what is your assessment of the consistency of these figures?
- Can you describe a statistical method to identify differences between two populations?
DHL Data Scientist Interview Questions
Quoted word for word from DHL interview reports.
“How would you predict the price of a goods delivery from Beijing to Bonn?”
Read reports →“Can you describe a statistical method to identify differences between two populations?”
Read reports →“What was the rationale behind selecting this specific algorithm?”
Read reports →“What would be the data requirements for building such a model?”
Read reports →“Considering 78% of respondents agreed to ship with company A, 71% with company B, and 48% with both, what is your assessment of the consistency of these figures?”
Read report →“For a business case involving daily parcel deliveries with a given yearly volume graph, how would you determine the optimal number of employees needed, ensuring it's neither too many nor too few?”
Read report →“What concepts do you know about machine learning models?”
Read report →“What's your approach to dealing with missing values?”
Read report →“For this use case, which we will present, what solutions can you propose?”
Read report →Formats, difficulty and experience
Across all 11 DHL interview reports.