Publishers Clearing House Data Scientist Interview Questions
The questions to prepare for a Publishers Clearing House Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Aggregate user activity by week, then use LAG to compare sessions and watch time versus the prior active week.
Publishers Clearing HouseCompute 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.
ArtefactFramework for choosing a feature's primary success metric and guardrails before launch.
Publishers Clearing HouseA framework for deciding which features should ship first when building a new product.
Publishers Clearing HouseDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
Publishers Clearing HouseExplain how to reduce overfitting using regularization, validation, and model selection.
Publishers Clearing HouseExplain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.
Publishers Clearing HouseExplain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
Publishers Clearing HouseDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Publishers Clearing HouseSign up to see every question
Create a free account to unlock this list and practice real interview questions.