Me postulé en línea. Acudí a una entrevista en Expedia Group (Seattle, WA) en abr 2026
Entrevista
The role was a causal inference-heavy pricing role. Started with a HR phone screen followed by 4 interviews over two rounds.
The first technical round involved foundational causal inference theory questions followed by a pair programming component that involved refactoring ML model code.
The final round consisted of 3 interviews that involved classical ML theory, a case study and behavioural questions respectively.
The entire process took nearly 6 weeks. I was strung along for a few weeks after the final round by HR before I ultimately got a rejection.
Preguntas de entrevista [1]
Pregunta 1
Explain how you would perform cross validation on time series data?
In what circumstances would you use ridge regression over lasso and vice versa?
How would you reduce the variance of the average causal effect estimate?
Me postulé a través de una recomendación de un empleado. El proceso tomó 4 semanas. Acudí a una entrevista en Expedia Group (Seattle, WA) en jun 2024
Entrevista
One Hr call, one call with the hiring manager, and then the final round consists of 4 interviews. Overall a good experience. The questions are wrt to the role. Questions go from behavioral to stats, data science to data manipulation and intuitions plus coding (python and SQL).