J'ai postulé en ligne. J'ai passé un entretien chez Insight Data Science
Entretien
No wonder the success rate of Insight program is very very low. The interview lasted 20min. Priori to my interview, they told to prepare a DS demo project, and so I spent quite a lot of time improving the model and try to present the best result. But the interviewer spent 15min asked about my motivation in working in DS, my communication skills and some remotely-related questions to my project, then wanted me to present my project in less than 5min and she skipped the most of it and ended up the interview with asking logistic questions. From this experience, you can see that they're not exactly looking for people who cares about modeling, but more about your presentation, your communication skills. This is definitely not worth the money that you have to pay, which by the way, is 2% of the total compensation for two years!! ! What I want to learn is data science, not communication skills, which I can develop in any work.
Questions d'entretien [1]
Question 1
How's your communication skills? Why Insight? Tell me about your project.
J'ai postulé en ligne. J'ai passé un entretien chez Insight Data Science
Entretien
The process is very straight forward. Two rounds, virtual one on one meeting. Met with a program director to answer some logistical questions and show them your ability to do some coding. They did not reveal the income sharing agreement until after I was accepted to the program, and sent out a few emails asking you to sign and pay right before the start date of the program. It was very sketchy to myself and a few fellows I met in the program. Make sure to look up their IRA before considering the program.
J'ai postulé en ligne. J'ai passé un entretien chez Insight Data Science (New York, NY) en juill. 2020
Entretien
1. Filling out the online application: information about you and what you've done.
2. If selected, they will reach out to you to schedule a 30 minutes video interview.
3. You get the result in an email.
Questions d'entretien [1]
Question 1
Describe your research.
Why did you use this ML model?
How do you interpret the result of this ML model that you have used?