Machine Learning concepts. Statistics etc
Sr Data Scientist Interview Questions
3,387 sr data scientist interview questions shared by candidates
What features can be used for a credit risk model
Questions around product and metrics: LTV, forecasting, and A/B testing.
Behavioral questions / technical questions on Machine Learning and statistics
SQL: Nested queries Python: Pandas aggregations & pivots ML: Describe multicollinearity and how to deal with it Statistics & Experimentation: How would you assess the effects of email reminders on reducing average medical costs of high risk members?
1. Explain OLS 2. How to build linear regression 3. Explain modeling process
p value
confidence interval
python data type
In one interview, te questions seemed straight out of the playbook for HR people. From the teams side, there was one or two interesting questions regarding Data and technology.
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