Data Scientist applicants have rated the interview process at Schneider Electric with 2.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 75.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Schneider Electric overall takes an average of 28 days.
Common stages of the interview process at Schneider Electric as a Data Scientist according to 3 Glassdoor interviews include:
Skills test: 25%
Phone interview: 25%
One on one interview: 25%
Personality test: 13%
Group panel interview: 13%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 2 days. I interviewed at Schneider Electric (Bengaluru) in Mar 2024
Interview
The online test consisted of two rounds
* first round consisted of 30 questions regarding dbms and OS concepts
* second round consisted of aptitude questions
* The test was online proctored
I interviewed at Schneider Electric (Jersey City, NJ)
Interview
The data scientist interview process included resume screening, technical assessments covering statistics, machine learning, and programming, followed by case studies or take-home assignments. It also involved problem-solving interviews and behavioral rounds that evaluated my communication skills, teamwork, and real-world data analysis experience.
4 entretiens avec 1 rh et 2 personnes de l'equipe pour l'entretien technique. Des questions sur les experiences et des projets. enfin il y a eu un ultime et final bien evidemment interessent entretien d'une grande classe sans null autre pareil
I applied through a recruiter. The process took 2 weeks. I interviewed at Schneider Electric in May 2025
Interview
I met first with a recruiter, then I had an interview with the hiring manager. This wasn't highly technical but gave me an opportunity to showcase my expertise. The second interview was a bit more technical, with the director of the team and a senior data scientist. They asked me to describe several projects I've worked on in my resume and were looking to see that I could handle complex technical work. Though there was no live coding (thankfully).