These questions are tailored to the Junior Data Scientist role at VelocityAI, based on the required skills and experience level.
Discuss model drift, retraining strategies, and the importance of monitoring deployed models.
Share specific techniques you've used and how they improved model performance.
Cover problem definition, data collection, feature engineering, model selection, evaluation, and deployment.
Mention metrics like accuracy, precision, recall, F1, AUC-ROC, and business-specific metrics.
Focus on what you built, the technologies used, and what you learned from the experience.
Share your learning process: tutorials, documentation, building projects, and asking questions.
Discuss type hints, virtual environments, linting, testing frameworks, and project structure.
Discuss cross-validation, train/test splits, metrics selection, and avoiding overfitting.
Discuss query plans, indexing strategies, denormalization, and caching approaches.
Focus on prioritization, communication, and what you delivered despite the constraints.
Key tips specific to data science interviews and remote interview etiquette.