Ontra Data Scientist Interview Questions
The questions to prepare for a Ontra Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain your experience building predictive models, from feature work and validation to tuning and deployment.
OntraExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
OntraTell the story of using user feedback to identify the right product change and make the improvement.
OntraTests product analytics thinking under data constraints and ability to form defensible conclusions.
OntraTests SQL proficiency for transforming and querying data used in analytics and modeling.
OntraCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIMerge CRM orders with GA events via an identity map to build a customer-level view using joins, window functions, and monthly rollups.
ArtefactUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
OntraDescribe how your analysis of marketing KPIs led to a meaningful decision and how you tied short-term and long-term metrics together.
OntraExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
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