Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso GEICO (Chevy Chase, MD)
Colloquio
1) Initial interview with HR. 2) Technical phone interview with hiring manager. 3) In person interview with hiring manager at primary office in Chevy Chase, MD. Straight forward process, although HR is very incompetent.
Domande di colloquio [1]
Domanda 1
Asked about a lot of unrelated topics, but everything was technical. A background in math is beneficial. Must also know a scripting language and SQL.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso GEICO nel mese di ott 2022
Colloquio
HR was very patient. The whole process was smooth and fast. 4 rounds of interviews in total. The first round was ML+resume; the second was python + SQL + easy algorithm, the third round was real case machine learning models, the last round was with one of the managers and asked resume and one machine learning model.
Domande di colloquio [1]
Domanda 1
Asked many machine learning questions such as decision tree, random forest, KNN, and Kmeans. Must know the detail of each model very well. Deep understanding of your resume, asked many details
La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso GEICO
Colloquio
Onsite technical screen had SQL and python coding questions. Format was in a double spaced google doc, which is by far the worst possible way to ask these questions. Interviewer didnt seem to understand the problems during the interview leading to confusion. GEICO, like many financial or insurance companies, have really poor interview processes in place for data science. Bottom quartile compensation = bottom quartile talent.
It was a very strenuous and long process which required a lot of time spending through multiple rounds of interviews and take home exam. Many technical questions regarding ML from multiple interviewers.
