09-14, 15:10–15:40 (Europe/Amsterdam), Hello, World! (Tutorials)
You are a data science or a machine learning engineering, and you applied for a position. You thought your interview went well, but still got a negative response... What might went wrong? In this talk, we will explore how things may go wrong from both applicant and interviewer side, and what can you do about it.
You studied for years, and maybe have years of industry experience in your pocket. You found a nice opportunity and you applied for the job position. You did your best, but still got rejected. Two things for sure are that you are not alone, and it will not be your first time. But how did the interviewers reach to that decision? Could it be about your technical level, the colour of your shirt, or the interviewer did not have enough coffee that morning?
In this talk I you will hear about stories, tips and how technical interviewers may reach to a decision:
- What are the red flags from both applicant and interviewer sides?
- How interviews might go wrong from both the applicant and the interviewer sides?
- What should you expect from your technical interviews?
- How can we structure a better interview process?
Whether you are hiring or applying, you will have a better understand what is happening at the other side of the table!
No previous knowledge expected
Kemal is a Technical Lead in a data science team at ABN AMRO. He studied software engineering and machine learning. During his time in academia, he published machine learning solutions approaching human-level performance. Kemal started his career as a data scientist. He founded Elify.io, a skill assessment tool for data-driven roles, which resulted in an exit. He worked as a machine learning engineer in the past years, delivering end-to-end machine learning-backed solutions. At his current role, he is the technical lead of CISO data science team of ABN AMRO, keeping the attackers at the bay with machine learning!