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Sr Data Scientist Interview Questions
3,395 sr data scientist interview questions shared by candidates
Typical behavioral and deep dive in technical projects with questions focused on ML design.
Regarding Machine Learning system design and time series problems. Classical machine learning algorithms details and the EDA techniques
What’s an interesting metric from a project of your choice? Why?
Give me a data science project and describe it end to end. What was the situation, what models and model assumptions, how did you tune the model? (Others that i cant remember)
1. Dict based coding question. 2. Ads prediction SD. How do you handle data imbalance for some ads. 3. Evaluation of recommender system, regularization and some behaviour questions.
The business case in the technical interview was the most important part. The scenario had two marketing campaigns running at the same time, and I had to explain how to measure their combined value and decide whether to keep campaign A, campaign B, or both together.
What do you know about the company? Why are you leaving your company? Given a signal, how would you try to detect given features? How would you improve it? Are there any concerns with the classification that you have?
Des questions générales sur la data analytics et le business. Rien de très difficile
The first interview involved general data science questions that any average data scientist could easily answer. The data science questions in the second interview were also easy. The data scientist interviewing me from Sweden didn’t seem to know much about the field. It felt like a student interviewing someone at a professor level. However, I'll give their knowledge graph expert respect, as they were questioning my skills in this area well. The questions about knowledge graphs were about concepts on ontologies, OWL, and SHACL, which I had good experience with since they are part of my PhD thesis. The third interview questions were more about hiring, onboarding, salary, and a bit about my technical past experiences from the hiring manager. In the additional fourth interview, the lead in Oslo mentioned that he wasn't very good at coding. I thought he might be just being humble. He also said he came from a biology background, so I mentioned that was my weak spot and that I was learning to code genetic algorithms. He then admitted he didn’t know about that either. Unfortunately, this seems to be their level of expertise. His questions were just situational questions and cliche questions in management.
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