There were questions to asses your soft skills. And from technical point you need to be able to explain your decisions along with full scale ML project so they can assess if you can develop the solution and explain your decisions if you get hired.
Data Scientist Junior Interview Questions
1,125 data scientist junior interview questions shared by candidates
If given 100 tables, what is the efficient way of combining those tables?
What’s the difference between decision tree and random forest?
What happens when you try to train a classifier on a data of 10k dogs and 100 cats?
The Recruiter interview is to see how well you fit the position. The questions seem very standard.
They primarily asked questions related to Python, Machine Learning, Deep Learning, Computer Vision, and NLP, which tested my understanding of core technical concepts.
Python data manipulation, building simple ML models, and statistical Bayes theorem—they give multiple datasets.
Have you used Python before?
Create PostgreSQL instances and write a query
time management, multi tasks, etc.
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