Argus Information & Advisory Services Data Scientist Interview Questions
The questions to prepare for a Argus Information & Advisory Services Data Scientist interview. Questions from real interview reports rank first. Updated daily.
How to measure whether a model is calibrated, using score reliability and probability error.
Argus Information & Advisory ServicesFind the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.
Argus Information & Advisory ServicesCalculate the monthly spending trends for customers using window functions and joins.
Argus Information & Advisory ServicesUse a LEFT JOIN and grouped aggregates to report completed Argus transaction counts and amounts by bank.
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Build a churn model that identifies at-risk retail customers early enough for retention actions across QVC marketing channels.
Argus Information & Advisory ServicesWalk through the assumptions behind a linear regression model and how each one affects inference.
Argus Information & Advisory ServicesWalk through the math of customer lifetime value using retention, churn, and margin assumptions.
Argus Information & Advisory ServicesDesign an ETL pipeline to process 10TB of data daily from multiple sources into a data warehouse with strict data quality checks.
Argus Information & Advisory ServicesAssesses your approach to segmentation using data and clustering or related techniques for banking use cases.
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