How does BERT work? What are LLM's, Have you worked on any LLM's? What are Transformers and what are they used for? What is difference between tf-idf and Word2Vec Linear and Logistic Regression Bias Variance Coding test on SQL and Python
Senior Data Scientist Interview Questions
3,513 senior data scientist interview questions shared by candidates
what my main Motivation to work there was
Metric power analysis and bootstrapping
Bias Variance tradeoff Random forest Hyper-parameter tuning How to build Random forest pandas based python queries Linear regression assumptions Precision Vs Recall Cloud related Pandas group-by, average, sum queries entropy, info gain Random Search CV Bagging Boosting
- questions techniques en Python (il y a un test à la maison à faire le week-end) - demandent le nom des autres boites auxquelles on candidate
classification, regression, deep learning
1. how to create lagged features in order to avoid data leakage 2. If we pick single tree from DT, RF, XGB - how will the bias variance look like 3. TF-IDF 4. Weakness , how would manager define you
Round 1: The questions were SQL join conceptual and small implementation question followed by pandas questions to manipulate dataframe and calculate rolling average of lags.
They asked me to prepare a presentation of what I've done in my research and previous jobs. The questions were all about my own work. No classical interview questions, problem solving or quiz.
Classical questions
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