DigitalOcean Data Scientist Interview Questions
The questions to prepare for a DigitalOcean Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
DigitalOceanCalculate the monthly spending trends for customers using window functions and joins.
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World Wide TechnologyCalculate monthly DigitalOcean CSAT for active paid customers, deduplicate responses, and show month-over-month changes.
DigitalOceanExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
DigitalOceanWalk through a past project using hypothesis testing and regression to turn data into a decision.
DigitalOceanFramework for evaluating customer feedback and turning it into prioritized product improvements.
DigitalOceanHow to tell if a model is overfitting by comparing training and validation behavior.
DigitalOceanInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
DigitalOceanTests your ability to improve end-to-end ML workflow performance and resource usage.
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