Flatiron Health interview questions

Showing 1–3 of 3 results

• Build a robust ML pipelineMedium

  This question evaluates a candidate's competency in designing robust end-to-end ML pipelines, covering temporal data slicing, leakage controls, time-series cross-validation, feature store consistency, offline and business metrics, drift detection and monitoring, online rollout strategies, retraining triggers, and fairness assessment.

  Flatiron HealthData ScientistMachine LearningTechnical Screen
• Compute churn metrics and rank top studentsMedium

  This question evaluates proficiency in data cleaning, transformation, aggregation, and deterministic ranking across R (tidyverse) and SQL, focusing on handling missing values, date arithmetic, aggregation and rounding of metrics, and top-N selection with tie-breaking.

  Flatiron HealthData ScientistData Manipulation (SQL/Python)Technical Screen
• Write SQL window functions for streaksMedium

  This question evaluates proficiency with SQL window functions, date arithmetic, gap-and-island (streak) detection, rolling aggregates, and event-order sequencing to derive DAU, revenue metrics, and inactivity gaps.

  Flatiron HealthData ScientistData Manipulation (SQL/Python)Technical Screen