Round 1: Conducted by a senior data scientist a) Live SQL Coding - given a case and 4 tables, I had to solve it using SQL (usage of joins, window functions etc.) b) Meta and Uber product related metric questions Round 2: Conducted by a product manager a) Metric cases b) A/B testing etc. Round 3: Conducted by a data scientist a) Stats, ML and probability questions b) Product case c) A/B Testing case Round 4: Hiring Manager Round a) Product questions b) Past experience Round 5: Bar Raiser from a Director a) Random behavioural questions
Sr Data Scientist Interview Questions
3,499 sr data scientist interview questions shared by candidates
What is regularization in machine learning?
Given a table named employees which contains columns employee_id, last_name, first_name, salary, department and another table, employees_projects, with columns employee_id and project_id, with a query to select the top two employees alphabetically per project, where alphabetically means ordered by last_name and then first_name.
how to sample 100 values between 2 and 3 from standard normal distribution. how would you optimise it to have exactly 100 steps instead of a long accept/reject loop.
what is your name ? and did you speak to someone else in the company before?
Dice A with four 9's and two 0's Dice B with four 3's and two 11's If you are allowed first to choose the dice which dice you will choose so that the probability of you winning in the first roll
Machine Learning, what clustering method would you use for this data?
Why is VIT better than Convnets?
What projects have you done in the previous work?
Questions around projects done in earlier workplace. Explanation of some core deep learning concepts and it's application. Discussion on details of model and data science application experienced during earlier projects.
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