Factors affecting social inflation.
Data Scientist Senior Interview Questions
3,383 data scientist senior interview questions shared by candidates
Q: Tell us about yourself and your experience Q: Walk us through your past projects and experience. And later asked technical and non-technical questions based on the resume. Q: ML algos were asked Q: SQL questions to solve Q: Scenario bases DS questions. Which model would I choose, why and walk them through Q: Product-based scenarios were given and my inputs were asked on how I could make it better or how would I have navigated from scratch. Q: Ways to handle an unbalanced dataset
round 1 - why do you want to change the job? round 2 - SQL queries (CTEs + window functions medium level) + basic data science questions + project round 3 - credit risk modelling take home assignment + technical discussion round 4 - credit risk case study discussion round 5 - absolutely useless round (and they rejected me for no reason here after doing well throughout the process) Whole process took 2-3 months which is unnecessarily long
"Given several methods to achieve an end goal, identify the pros and cons, costs, time spent, and the best way to measure outcomes. How do we decide which method performs better?"
Explain a bit more about the project
What’s one project that you’d say summed up your time at your prior employer?
How would you handle a situation in which your teammate didn't get their assigned portion of an important stakeholder project done?
Brainstorm about possible features to run a predictive model and how to select feature
First round with HM: - Introductions - Algorithms and projects are mentioned in the resume I was exhausted from the other interviews on the same day. So, make sure to take it easy on yourself.
1. Explain lasso regression model and why did I use it for the analysis. 2. Explain confusion matrix and metrics like accuracy, ROC 3. Explain p-value in layman terms 4. What strategies would I use if I want to market to alumni to give back to the university
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