G MASS Data Scientist Interview Questions
The questions to prepare for a G MASS Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Explain how to identify, assess, and handle NULL values before analysis using basic SQL profiling and replacement logic.
Explain INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINs with examples and when to use each.
Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo
CruiseSegment Instacart orders by region, retailer, and derived delivery outcome with aggregate operational metrics.
InstacartExplain how to connect customer analysis to clear business actions, product decisions, and measurable outcomes.
Define a success metric for a new feature that captures real user value, not just raw usage.
A framework for deciding which features should ship first when building a new product.
Build a step-by-step framework to validate, decompose, and explain a sudden 15% drop in a core business KPI.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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