Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela BASF em fev. de 2019
Entrevista
Interview lasted for 1 hour. It was less focussed on coding or checking my knowledge in Data Science but more focussed on behavioural questions. They were interested in "how" and "why" aspects in solving problems with Data Science expertise than "what" is done as per the textbook.
There was also more focus on projects I had done so far.
Couple of questions I did not expect for which I literally got surprised are.
1. How will you explain Data Science to your Grandma?
2. Tell me somthing new you learnt recently or somethin which you found really interesting.
Overall intreview was mix of technical (in applied way) and behavioural questions.
Perguntas de entrevista [2]
Pergunta 1
How will you explain Data Science to your Grandma?
It wasn’t that hard, mostly behavioral questions, like describe a situation where you handled stuffs, team work, or any python experiences, they are making sure you are right in the resume, I was expecting more technical questions but it ended up being entirely behavioral. It was okay overall, simple.
Perguntas de entrevista [1]
Pergunta 1
Describe a situation when you handled difficult things all alone or with a team? How do you learn stuffs if you have to learn something new?
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela BASF (New Jersey) em mar. de 2025
Entrevista
Very simple and easygoing interview. Started with phone screening, then one round of behavioral/technical. Screening was to get to know more about the company and the role you will be playing. The interview had behavioral questions, and some questions were about Python.
Perguntas de entrevista [1]
Pergunta 1
Explain cross-validation, and what is supervised learning?
Candidatei-me online. O processo levou 3 dias. Fui entrevistado pela BASF em set. de 2022
Entrevista
around 30 min with hr, not technical, just to make sure everything on your resume is true? self intro, past experience, asked some details about related experience and project according to points on jd then logistics (time, location