1010data Data Scientist Interview Questions
The questions to prepare for a 1010data Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Find the top 10 products by total sales revenue using joins, aggregation, and a CTE.
1010dataAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
1010dataHandle multiple comparisons in a growth experiment by pre-registering a primary metric, correcting secondary tests, and respecting guardrails.
1010dataFramework for using product data to identify and prioritize the user problem that should be solved first.
1010dataDesign a recommendation system strategy for new users and new items when interaction history is sparse or missing.
1010dataExplain precision vs recall and when business context should push you to optimize one metric over the other.
1010dataCompare batch and streaming data processing, including when each fits best in a pipeline.
1010dataAnalyze where users drop off in a product funnel and identify the biggest conversion leak.
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