The interview process involved a HOME-Project on predicting the price of a list and betting against others to make the most money. The final round consisted of several sections: Excel: This section was fairly easy, requiring some basic business knowledge. Machine Learning: The questions were straightforward, with nothing particularly challenging. SQL: This part focused on overall understanding rather than complex queries. Overall, the interview was easy, but I wouldn't recommend joining the company. The work environment is unpleasant, there's little room for growth, and the salary is among the lowest in the industry. Consider accepting the offer only if you have no other options.
Sr Data Scientist Interview Questions
3,390 sr data scientist interview questions shared by candidates
Describe your work experience, what interests you about the company
Tell me an example of work you are most proud of?
Why this role? Why National Grid?
Describe one of your projects, and many follow up questions
Take-home: Given a dataset, do some EDA and ML
In the first half of the interview, we discussed about different challenges I faced while building my project and how did I handle them. Asked basic question from my project.
Walk me through your data science projects? What's the biggest dataset you worked with?
Questions about one of my projects
When do you use random forest vs xgboost?
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