Machine Learning concepts. Statistics etc
Sr Data Scientist Interview Questions
3,389 sr data scientist interview questions shared by candidates
What features can be used for a credit risk model
Questions around product and metrics: LTV, forecasting, and A/B testing.
Behavioral questions / technical questions on Machine Learning and statistics
SQL: Nested queries Python: Pandas aggregations & pivots ML: Describe multicollinearity and how to deal with it Statistics & Experimentation: How would you assess the effects of email reminders on reducing average medical costs of high risk members?
1. Explain OLS 2. How to build linear regression 3. Explain modeling process
In one interview, te questions seemed straight out of the playbook for HR people. From the teams side, there was one or two interesting questions regarding Data and technology.
Bias variance tradeoff question was asked.
- Como lidar quando uma feature do modelo tem muito mais peso do que as outras? - Como implementar uma rastreabilidade de usuários por meio de dados como ip, cpf, email, etc.
The interviewer wasn't very knowledgeable -> for eg - no questions related to the attention mechanism for a NLP role. Nothing about model deployment frameworks, model optimization, AWS services such as Sagemaker - nothing at all.
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