What are the different experiences you have in the data science field
Senior Data Scientist Interview Questions
3,374 senior data scientist interview questions shared by candidates
General background questions, education, practical experience, what I wanted in terms of career long-term, etc...
Most of Facebook product use cases.
Coding of general software engineering stuff
How do you think that the reshares harm the user engagement.
1. Live coding: basic dataframe operations, regression model fitting, handling class imbalance in SVM (basic) 2. Resume Based: Basics of ML, ML Ops, OOPS 3. Technical Round 1: Resume based, very detailed questions on projects, simple case study (problem formulation and brain storming) 4. Technical Round 2: Basics of ML Algorithms, Technical workings of them 5. Case Study: Forecast demand for sales of a product for a national company with stores in different location (store level forecast) 6. Simple ML questions, 5 min case study
A few case studies for DS ML problems.
Why Vanta over other companies?
Don't remember fully. 15 min was given to a task to design an ML feature in the system. Other than that many questions about my experience and on some practical aspects.
Describe the difference between various bagging and boosting methods in terms of bias and variance trade-off
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