Data Scientist applicants have rated the interview process at DuPont with 3 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 70.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 21 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at DuPont overall takes an average of 32 days.
Common stages of the interview process at DuPont as a Data Scientist according to 2 Glassdoor interviews include:
Presentation: 33%
Background check: 17%
One on one interview: 17%
Group panel interview: 17%
Phone interview: 17%
Here are the most commonly searched roles for interview reports -
I applied through other source. I interviewed at DuPont (Oviedo) in Sep 2025
Interview
Entrevista con el equipo de manera presencial. Hubo una parte técnica y parte personal en la entrevista. En la técnica piden saber se otros proyectos que hayas hecho en anteriores empleos. Piden también hacerla en inglés ya que es un equipo internacional. Duro como unas dos horas.
Interview questions [1]
Question 1
Plantearon un caso práctico también. Me pidieron comentarles como resolvería.
I applied through college or university. The process took 4 weeks. I interviewed at DuPont (Newark, DE) in Dec 2019
Interview
The final interview process was scheduled in person and was set to take the majority of the day starting at 9 am and ending at 1:30 pm. During this, I first had to give a 30-minute presentation representing some of my prior work, followed by 3-4 rounds of 30-minute, 1:1 technical interviews by other members of the team.
Interview questions [1]
Question 1
How will you apply machine learning to a certain set of input parameters in order to minimize or maximize certain properties?
I applied through an employee referral. The process took 2 weeks. I interviewed at DuPont in Mar 2019
Interview
The phone interview was with the lead scientist from the department I applied for. They first asked me some general questions such as why am I interested in the job and the company and my overall research / experiences, then they went to technical questions. Since the team works on computer vision and machine learning stuff, they asked a lot of detailed questions on that, but generally the questions are easy.
Interview questions [1]
Question 1
Some questions are very detailed like how to swap data axes in numpy and what's the meaning of operations in some commonly used algorithms.