Akkodis Canada Data Scientist Interview Questions
The questions to prepare for a Akkodis Canada Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design feature engineering for noisy, high-dimensional data and choose a model that generalizes well.
Tests your practical proficiency with core Python data tooling for analysis and preprocessing.
How to judge whether a model is ready for production using core evaluation metrics and threshold choice.
Design an A/B test for a new digital product launch with clear metrics, power, guardrails, and a defensible ship decision.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Tests SQL proficiency with window functions and correct partitioning and ordering.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.
Loft
Arcadis
Cgi NederlandUse joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.
NTT DATA
AppfolioCompute calendar-based 7-day signal averages and rank NASA instruments within each mission group.
NASA
Nextera Energy Resources