Data Scientist applicants have rated the interview process at DHL Express with 1.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 7 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at DHL Express overall takes an average of 19 days.
Common stages of the interview process at DHL Express as a Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 100%
Here are the most commonly searched roles for interview reports -
Only interviewer is the hiring manager, asked to rank basic data science skills such python proficiency on a scale from 1 to 10, without explaining or supporting with past experience. Soon after they sent the rejection email. Duration is 10minutes and interviewer was late by 15 to 20 minutes. There was no opportunity to 'fail' the interview with such a format but they sent me the rejection email soon after. So clearly they had something in mind.
I applied in-person. The process took 4 weeks. I interviewed at DHL Express (Maastricht) in Jul 2024
Interview
1 verkennend gesprek, daarna een technische opdracht. Je kreeg de opdracht te horen en 3 uur later moest je deze presenteren. Daarna kozen ze degene die de presentatie en de opdracht het beste hadden gedaan.
Interview questions [1]
Question 1
Je kon kiezen tussen 2 Data Science opdrachten. In mijn geval was het een forecast opdracht en een NLP opdracht.
I applied through a recruiter. The process took 1 week. I interviewed at DHL Express (Singapore) in Feb 2020
Interview
Recruiter called after finding me on LinkedIn, asked about my expertise, backed off after knowing salary expectations. Not sure what kind of “data scientist” they were looking for. It seemed recruiter was expecting me to take a pay cut and go back to analyst salary for “DHL brand”.
Interview questions [1]
Question 1
1) Experience with data management, ETL, SQL and programming
2) Experience with solving real problems with data and automation tools