Which ML algorithms you are using? How big is the data and what is the analysis steps you have taken?? what is XGBoost?
Lead Data Scientist Interview Questions
347 lead data scientist interview questions shared by candidates
work on a home project
Pair programming to for ML project.
They would describe an analytics case (such as wanting to determine causal variables for someone responding to incentives) and want to hear brainstorming.
There were questions around probability and SQL
Was asked variety of data science, ML, coding (python/sql) questions.
detailed questions on how some hyperparameters of an algorithm (catboost if I remember correctly) is working.
break-even random forest people lead/project lead experience
About project Some basic SQL
Technical questions around R/Python. Business use cases presented and asked to play out the hypothetical execution of the same.
Viewing 211 - 220 interview questions