They asked about my religion and whether I was willing to work in the company, where the main business is lending and leasing.
Lead Data Scientist Interviews
Lead Data Scientist Interview Questions
"As a lead data scientist, you will be responsible for developing creative and effective improvements to a company's product by analyzing data from consumers, websites, sales, and many other sources. During an interview, expect to be given many case studies about what information you can draw from a particular set of data as well as to be tested on your general statistical and computer science knowledge. A background in computer science, statistics, or another related field is required. "
398 lead data scientist interview questions shared by candidates
Identify and treat outlier values?
For given three to four features, how would you develop a ML model using those features with the label of whether a user is installed or not?
Qu'est-ce qu'un lead pour toi ?
gave the presentation of my previous work.
Puzzle questions
Code review: - Use of one-hot encoding over ordinal encoding - fixing the accuracy, precision, recall calculation, and explaining them - dropping the target before training the model - fitting the model on the train dataset instead of test - explaining the choice of model – random forest classifier, and the number of estimators i.e. trees (hyperparameter) - Why use validation dataset and then predict the test dataset? - Label mismatch in the train and test dataset (additional column in the train dataset) - Missing values in ‘age’ feature - How to handle missing values?
One or 2 questions on CV, or why McKinsey. Which model design works best given the data, and why, which Metric works best etc. Consulting Math with pen and paper only. Ability to compute probabilities, regression results etc. without calculator. Ability to explain what certain ML results on a screen actually meant.
Tell me about a time when you helped someone's career development?
Tell me about X item on your resume.
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