Machine Learning / AI
Tell us about a clustering task.
Where exactly would you like to grow in the future?
Tell us about one of the recent classification tasks and describe its pipeline.
How is the ROC curve calculated iteratively after ranking objects by score?
You have a target and a verified feature store with about 5,000 features. How would you test it on this task?
What are you currently working on in consulting? What project do you have?
How many features will you take from the feature store and how will you select them if all 5000 features are valid and without leaks?
What do you know about ROC-AUC?
Find all clients in January who had at least one sale after communication within 30 days.
If you can only communicate with a limited number of clients, how do you evaluate such a scoring model?
Tell us about an NLP task you performed.
Do you already have offers in hand?
What is the reason for your desire to change jobs?
Are you considering only the ML engineer position or also Data Scientist?
What does PR-AUC show?
In case of severe class imbalance, how do precision, recall, and PR-AUC behave?
What interested you in our company?