Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Acumen
Entrevista
First you will receive a phone call from HR to find which position is best fit; very friendly and easy, feel free to discuss other positions you might be interested in
Second, you will received a excel exercise, and after that you will receive a call (30 min) in which one of the Statistical programmers will ask you to walk them through the exercise, they will also ask additional questions on how to improve your work, what you could have used as a diagram, so be ready to add those. And next is a 3 hour interview, with one test (1 hour) and 3 interviews with different groups to check the fit
We appreciate you taking the time to review your interview with us. We're glad to hear you had a positive experience!
Entrevista
Very quick chat with HR, then had two one-on-ones with mid-level programmers from two different projects.
Three meetings were planned, but on the day I was told due to schedule changes, one couldn’t make it, and I didn’t end up meeting the names listed for the other meetings either.
From initial application to receiving offer was about 5 months.
Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Acumen (Burlingame, CA)
Entrevista
The interview process was three rounds, quite easy, including written test for data analysis, phone interview with an analyst, and then three back-to-back interviews with the current employees. These interviews each lasted 30 minutes.
Preguntas de entrevista [1]
Pregunta 1
Can you walk me through the process of how you interpreted the dataset?
Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Acumen
Entrevista
The whole process was great. I also communicated well with the interviewer. The first round of interviews was to discuss the findings from the dataset. You need to be familiar with knowing every step while you are writing this test.
Preguntas de entrevista [1]
Pregunta 1
Introduce yourself, Why did you choose Acumen, how you clean the data, etc.
