Great atmosphere, co-workers are friendly, nice discount, and benefits.
Everything about the stupid gecko.
I connected with the recruiter at the NSBE conference. He reached out and shared the Data Engineering Development Program. The process was smooth and transparent, but the live coding session was difficult. I was expecting a medium question, since i
Starts with an Excel evaluation exam (Product Modeler exam) before proceeding. The exam is challenging, so you need to prepare well, covering topics like retention, loss ratio, and logistic regression.
1. There is a take-home project (classification model with unbalanced data). You can choose either R or Python to complete it. 2. Then, there is an in-person interview to go over the take-home project (difficulties, things you would do differently).
I connected with the recruiter at the NSBE conference. He reached out and shared the Data Engineering Development Program. The process was smooth and transparent, but the live coding session was difficult. I was expecting a medium question, since i
Starts with an Excel evaluation exam (Product Modeler exam) before proceeding. The exam is challenging, so you need to prepare well, covering topics like retention, loss ratio, and logistic regression.
1. There is a take-home project (classification model with unbalanced data). You can choose either R or Python to complete it. 2. Then, there is an in-person interview to go over the take-home project (difficulties, things you would do differently).