J'ai postulé en ligne. J'ai passé un entretien chez Blend360
Entretien
The first step was an automated coding and data science skills screen. This screen utilized an invasive software that other companies were not using, and I would not have agreed had I not been desperate. The questions themselves were quite easy, but were extremely poorly and confusingly written and did not provide examples to see how the question should actually be interpreted. The way the questions were written and the word choice could be interpreted different ways depending on your cultural background, which I felt was extremely unfair and potentially discriminatory. I let the hiring manager know this, and I was still moved to the next round in which there were basic HR questions. I then did not move on in the process.
Questions d'entretien [1]
Question 1
They asked a SQL question involving a few different tables, where depending on your background and definition of the word avail (it has antonymic definitions depending on your culture), you would have approached the questions in different ways.
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Blend360
Entretien
The interview process consists of six rounds. It begins with an online assessment (OA) focused on evaluating basic technical and analytical skills. This is followed by five interviews that test a deep understanding of data science concepts, technical coding abilities, and problem-solving approaches. The process concludes with a project presentation to assess practical application and communication skills.
Questions d'entretien [1]
Question 1
Data Science concepts like Logistic regression, XGBoost etc.
J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Blend360
Entretien
2 rounds - one with HM and one with a panel
The one with HM had python and SQL questions with knowledge test around basic statistics and data science algorithms
Project review during the panel interview
One screening round with Sr. Data Scientist and then a series of 5 interviews ( HM, Another Manager, Sr DS, Director, and Project review with all 4). Job offered on a first come & first serve basis and highly unpredictable process (might close job based on budget cuts)
