TD SYNNEX Data Scientist Interview Questions
The questions to prepare for a TD SYNNEX Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Describe how you use basic SQL window functions to compute row-level analytics without collapsing detail.
Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Use a window function to find each customer's second-highest transaction amount for a specified month.
PersistentDesign a defensible NPCI user engagement metric that captures meaningful usage, repeat behavior, and product value.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
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Calculate the sample size needed for statistical significance using baseline rate, MDE, alpha, power, and experiment constraints.
Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.