Capital One·Data Scientist·Technical Phone Screen
- You're given an airline on-time dataset with a metadata spec. Before building any model, what are at least 8 concrete data quality issues you'd proactively test for, and what exact checks would you run to detect each one?
- For each data quality issue you identify, how would you quantify its impact on the dataset, and what mitigation would you apply without introducing target leakage?
- How would you define a data contract for the upstream producers of this dataset, and how would you enforce it automatically in a CI pipeline?
“This is where I started rambling a bit.”