Made it to the technical round which was a take home open ended analysis problem.
Spent a lengthy amount of time putting together a Jupiter notebook and slides since the project was so open ended (literally gave a dataset and asked for insights). Submitted the take home, which the team confirmed receipt of, and then never heard back from the team again.
Given how much time the take home took, it seemed very unprofessional to not even get a response from the team of any rejection or confirmation.
Preguntas de entrevista [1]
Pregunta 1
Take home analysis problem given an open source dataset. Ask was to develop key insights for a set of stakeholders and present findings.
Me postulé en línea. Acudí a una entrevista en Adobe (Bengaluru)
Entrevista
5 Rounds - 2 ML Related + 1 Hiring Manager + 1 Director + 1 Cultural Fit
Entire process was wrapped up in 10-15 days, most of the problems were easy to medium in difficulty.
Preguntas de entrevista [1]
Pregunta 1
System Design - Design a production grade fraud detection system, expectation was to discuss data pipelines, features, offline and online metrics, a/b testing.
The interview process began with an online assessment focused on statistics and Python coding. This was followed by a technical interview with a data scientist, which included SQL queries and machine learning questions. The final round was a behavioral interview with the hiring manager.
Me postulé a través de un reclutador. Acudí a una entrevista en Adobe (Noida)
Entrevista
4 rounds:
1st round: Sql
2nd round: with the manager. sql and problem solving
3rd round: web analytics, adobe analytics
4th round: with director. Non technical round
Web analytics questions
Adobe analytics questions
SQL
Problem solving
Preguntas de entrevista [1]
Pregunta 1
A lot of sql questions and web analytics questions
