Candidatei-me por meio de uma faculdade ou universidade. O processo levou 3 semanas. Fui entrevistado pela Truist em nov. de 2022
Entrevista
Two group interviews within a couple of weeks. A mix of behavioral and technical questions. Have a brief self introduction prepared, and rehearse some tell me about a time questions. Technical questions were all related to models I listed on my resume. Things like what are the pros and cons of KNN and logistic regression? Why is feature engineering used? How do you evaluate a model? What ways to adjust for over and underfitting? No coding involved.
Perguntas de entrevista [1]
Pergunta 1
How do you handle working in a diverse group? Briefly walk me through a dashboard.
2 people interviewed me, one is data scientist and another is manager. Asked around my past experiences. nothing special. But challanged my major, asked me why should choose me instead of math and stats major students.
Perguntas de entrevista [1]
Pergunta 1
Q:why should we choose you instead of math and stats major students. what's your advantage
HR reached out to me and then I go through one round with hiring manager to have technical phone screen. The questions are straightforward. 2 days later, I got the offer call from HR.
Candidatei-me online. Fiz uma entrevista na empresa Truist.
Entrevista
My suitability for this position is unique. My creativity and art of finance data product design got managers’ recognition. Besides, financial industry has a complex data system and data infrastructure. It also requires a lot of specific domain knowledge to do daily responsibilities. It will takes more than one year to train a new employee to fill this role.
Perguntas de entrevista [1]
Pergunta 1
a. Provide three reasons (expertise in certain technology, proven management success at X, etc.)
