Adaboost algorithm explanations, diff between other boosting algorithms.
Senior Data Scientist Interview Questions
3,390 senior data scientist interview questions shared by candidates
There are two tables. The first table is 'RUN' and includes 'athleteID', 'RunID', 'RunDate', and 'RunTime'. The second table is 'Athlete' and includes 'AthleteID' and 'JoinDate' and 'Age'. Write a query that shows the percentage of athletes who participated in the program in April 2024, meaning they have records in Table 1. An athlete may have multiple records in Table 1, but they are unique in Table 2.
Questions were mostly on your data challenge, hypothesis testing (how you would set something up, etc) and Bayesian stat (how you set up a prior, etc). Again tech questions are not hard and they kept asking about if I would be comfortable working with customers or non-tech people.
Machine learning algorithms
Fundamentals that a qualified data scientist should know
Given a fair and unfair coin, calculate the probability that if heads comes up 5 times in a row, you have the fair coin.
Take home: Setup ML pipeline question.
What are your strengths/weaknesses? Tell me about some of your projects.
How I would approach classifying a disease using EMRs?
Basic EDA, Behavioral questions on previous experience
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