1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.
Lead Data Scientist Interviews
Lead Data Scientist Interview Questions
"As a lead data scientist, you will be responsible for developing creative and effective improvements to a company's product by analyzing data from consumers, websites, sales, and many other sources. During an interview, expect to be given many case studies about what information you can draw from a particular set of data as well as to be tested on your general statistical and computer science knowledge. A background in computer science, statistics, or another related field is required. "
398 lead data scientist interview questions shared by candidates
Forests, boosting, projects from CV.
How have you managed high achievers vs low performers in your team?
Your past projects? Your skillsets?
Basics of statistics and machine learning
Tell us about your experience.
Q: Problem solving Q: Architecture design for impersonation classifier Q: Challenges in past projects, both technical and non-technical
Soft Skills questions in HR part and general data science discussion in Technical part
What is regularization? What is a linear model?
Give me an example project that you worked on.
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