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.
Sr Data Scientist Interview Questions
3,367 sr data scientist interview questions shared by candidates
Usual behavioral questions. Do not overlook data science fundamentals like precision, recall, sensitivity, specificity, etc.
colloquio con case study in pieno stile Data Science, problema di classificazione con manipolazione dati, sviluppo su notebook, discussione in Inglese di approccio seguito e improvement points, con due interviewer
A few case studies for DS ML problems.
Coding of general software engineering stuff
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
General background questions, education, practical experience, what I wanted in terms of career long-term, etc...
Went into a fair amount of expert knowledge on the domain and my experiences therein
My Experience level and what interested me about the Company
Describe the difference between various bagging and boosting methods in terms of bias and variance trade-off
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