Technical screen on coder pad (broken english, very lazily put together), technical deep dive on your projects, then team interview. Most of the team stayed off camera and on mute. Ghosted for weeks then came back with an offer out of range - deeply unserious company, huge waste of time.

Nkululeko's interview process consists of three stages: Technical Questions Screening Call – This is the first stage, where Nkululeko will be asked technical questions related to data science, machine learning, and possibly SQL or Python. The goal is to assess his theoretical understanding and problem-solving approach. Coding Assessment – The second stage involves a hands-on coding test. It may include algorithmic challenges, data manipulation tasks, or SQL queries to evaluate Nkululeko’s coding proficiency and ability to solve real-world problems efficiently.

Recruiter, phone screen (2 people), final round (manager + others). Overall this is really simple. Must know NLP and ML well. LLM/Chatgpt experience is very useful, but not required. Interview will include Amazon principles (behavior style questions) focusing on experience and relevant knowledge. Candidates must be able to both speak clearly at a high level and dive into details. Nearly all the DS have a PhD or MS. Questions are easy on the surface, but the interviewers are looking for specificity, reasoning, explanations, and most important brevity. You need to be sharp and quick. The interviewers are 100% managers and tech leads. They are surprisingly sharp but easygoing if that makes sense. It was a great experience, but the process is slow. Since the initial questions were open ended and seemingly easy, it was difficult to guess what followups they gave. Each layer of followups increased the expected difficulty. That's how they assessed my level. I'm already sr level, so this was very typical, expected, and easy at this point. I strongly recommend studying and practicing your strengths.