Data Scientist Questionnaire
Please complete the questions below as part of our application process:
* = required field
*Phone: (XXX) XXX-XXXX
*City, State, Zip:
*1. What does “data science” mean to you?
*2. What are the key differences between a regression problem and a classification problem?
*3. What is your favorite machine learning algorithm and why?
*4. Describe the purpose of bagging and boosting techniques. When would you use one of these techniques over the other?
*5. Describe the “curse of dimensionality” and what you would do to deal with it in a dataset
*6. What is over-fitting and why is it problematic? What steps can you take to avoid over-fitting?
*7. What is the difference between a test set and a validation set?
*8. How would you describe MAE, RMSE, R^2, and F1 score accuracy metrics to someone with a non-technical background?
*9. Please include the salary range you are looking for.
*10. Are you a US Citizen, or do you have a Green Card?
*11. Briefly describe the type of position you are looking for in your next career move.
*12. How did you hear about Decentrix?
NOTE: If you haven't already done so, please send your resume to firstname.lastname@example.org.
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