What is random forest? what is activation function?
Senior Data Scientist Interview Questions
3,397 senior data scientist interview questions shared by candidates
State your past work experience
Explain bias and variance tradeoff
Python coding interview (mostly on data structures), some technical interviews on ML basics and Causal Inference, some more experience-based questions
LLM training LLM vs BERT Rage application and use cases what are LLM model parameters Deployment of models Reverse a string in python and convert into a list
Graph traversal, binary tree etc
Round 1: Recruiter call - Assess fit. Asked very simple SQL questions e.g. group by Round 2: hiring manager round + 90 mins SQL interview right after. - Review past experience. SQL interview is on HackerRank Round 3: 60 mins technical/ case study interview - Asked about metrics to use in evaluating performance - Marketplace metrics Round 4: final interview with director of Strategy and insights - Reviewed past experience - quite casual chat on org, some competency-based questions
explain me about a past project of yours
One key question they asked was whether I could design and implement both single and batch inference pipelines while adhering to their MLOps framework. They wanted to see my understanding of production-ready model deployment, automation, and scalability principles.
Mostly around past experience, why you choose CLEO, have you ever used and downloaded our app, etc.
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