1. Introduce yourself 2. Discuss a project you worked on recently. 3. What do you know about us nad how can you add value to what we do
Sr Data Scientist Interview Questions
3,376 sr data scientist interview questions shared by candidates
Talk about my most relevant technical project
Fill gaps for the XBoost Tree, write SQL queries, why would I prefer a single model to group one; talk a lot about challenges and how I solved them during the PEI part.
Online coding: Imo the most difficult part of the process due to some awkward wording. Also a very quick fire exercise, essentially run out of time. 3 parts: SQL, Python, generic ML knowledge. Past tech experience: just make sure that you know what you did and why (may require brushing up on DS knowledge). Tech case interview: 'This is a problem, how would you build a DS model around it', from there a rather normal case. Personal Experience: same as for generalist consultant Final case + personal experience: same as for generalist.
Explain a solution at your current role
Tell me about yourself, case study, comp industry benchmark questions, etc.
How would you build a ML model to test for scams on the WWE app?
What is the expected value of various descriptive statistics of certain outcomes among a randomly generated pair of numbers. Completely ungrounded in any sort of business or real-world scenario, basically just a math quiz.
project based questions, RAG arch, LLM fine tuning, ...
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