Data Society Data Scientist Interview Questions
The questions to prepare for a Data Society Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compare logistic regression, random forest, and gradient boosting to predict learner completion in Data Society programs and justify the final model choice.
Data SocietyBuild a fraud classifier for a 0.1% positive-rate dataset using imbalance-aware training, threshold tuning, and precision-recall evaluation.
Data SocietyDetermine whether Data Society's course completion model is overfitting by comparing train, validation, and test metrics to a simpler baseline.
Data SocietyExplain precision, recall, F1-score, and ROC-AUC for a classification model.
Data SocietyExplain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Data SocietyExplain how to detect and handle NULL values in SQL using filtering, COALESCE, CASE, and business-aware imputation.
Data SocietyAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreCount unique respondents by Python or R library and return the most commonly used libraries first.
Oklahoma City ThunderFilter invalid game events and normalize event names using PostgreSQL string and null handling.
Quantium
Scopely
CarvanaApproach for handling missing values in a pipeline with data quality checks and repeatable transformations.
Data SocietyExplain how to evaluate and reason about rare event prediction when the positive class is extremely uncommon.
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