Dataford
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Prep plan
Updated weekly · Last refresh Aug 30

Fresh Gravity Data Scientist Interview Questions

The questions to prepare for a Fresh Gravity Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

33questions
~4htotal time
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1
Machine LearningStart here. 12 questions · ~97 min
Bias-Variance Tradeoff in PracticeMedium

Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationFresh Gravity
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2
Statistics & Probability3 questions · ~24 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesFresh Gravity
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3
Behavioral & Leadership7 questions · ~57 min
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4
More topics11 questions · ~89 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionFresh Gravity
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingFresh Gravity
Design a Personalized Product RecommenderHard

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Feature StoreFeature DriftModel ServingFresh Gravity
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisFresh Gravity
Check Anagrams FunctionEasy

Tests basic algorithmic implementation and attention to edge cases.

LemmatizationText ClassificationTokenizationFresh Gravity
SQL Window Functions for RetentionMedium

Tests ability to write advanced SQL for cohorting and retention calculations.

Window FunctionsLag/LeadRunning TotalsFresh Gravity
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Sales RevenueEasy
Practice
Practice drill

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsHousecall ProEquifaxXYZ
SQL Window Function RankingEasy
Practice
Practice drill

Rank customers by total revenue within each region using a window function.

Window FunctionsRankingGroup ByCapgemini FSSBUBlend360Capgemini Invent
SQL Joins and AggregationsMedium
Practice
Practice drill

Join policy and ISO ClaimSearch claim data to aggregate claim counts and incurred losses by state and policy type.

JoinsGroup ByAggregationsDemandbaseAlign TechnologyVerisk Analytics
The finish line: interview-readyComplete all 33 questions plus 3 hands-on drills to finish this plan.