Explain past projects. Handling of imbalanced data in a classification project. Basics, of decision trees, random forests, bagging and boosting. Bias Variance trade-off. 2 Puzzles.
Scientist Ii Interview Questions
702 scientist ii interview questions shared by candidates
What qualities do you have that make you an effective researcher?
Tell me about yourself?
Wie arbeitest du unter Druck?
Describe a recent technical topic that you enjoyed working on? What was your contribution?
Why do you use this technique in your research?
How would you define Success?
Describe [specific experience from resume]
1. I was asked about sampling designs. Data may be too large to fit into a model, so what's an appropriate sampling design? (More conceptual, less theoretical) 2. I was asked about data integrity and validation. Data cleaning, detecting anomalies, etc. 3. How would you handle missing data? What are some common statistical data imputation techniques? 4. How would you detect outliers? What is an influential outlier? 5. I was asked about model/variable selection process. 6. I was asked about technical skills: Python, Perl, C++, Unix 7. Why do you want to work at FICO?
concepts of Java/OOP - Inheritance, Static, Threading, etc.
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