Syntes Data Scientist Interview Questions
The questions to prepare for a Syntes Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.
SyntesIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
SyntesCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
SyntesDefine a success metric for a new feature that captures real user value, not just raw usage.
SyntesInvestigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
SyntesExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
SyntesTests your understanding of baseline selection and fair comparison for model evaluation.
SyntesTests your ability to discuss ML pipeline implementation details and relevant technical foundations.
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Calculate each customer's cumulative transaction amount over time using a CTE and window function.
Banco Santander
Anz
Bank Of Tokyo-Mitsubishi UFJCalculate a rolling 7-day average of system error counts using window functions and date-based aggregation.
Datadog
Toyota
Agile Defense