Python coding interview (mostly on data structures), some technical interviews on ML basics and Causal Inference, some more experience-based questions
Data Scientist Senior Interview Questions
3,385 data scientist senior interview questions shared by candidates
Take home case study relating to sales attribution and forecasting
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
How can we measure correlation between features?
What kind of loss function should be used in a specific case?
Do you feel confident to lead projects?
Given this set of data, what is the probability for someone ordering at Bolt?
ML, stats, projects, python, sql
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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