3 rounds of interviews, HR is the first round, hiring mgr as second round, the last round is panel interview with 3-4 interviewers. The total process is about ~1 month long
Interview questions [1]
Question 1
questions regarding to basic ML concept, implementation
Fueron 4 rondas de entrevistas, con diferentes miembros del equipo, sobre todo behavioral, algunas preguntas de SQL basadas en window functions. Parecia mas una conversacion para conocer a los diferentes miembros del equipo.
Interview questions [1]
Question 1
Teniendo una base de datos con todas las interacciones de un usuario en una pagina [time, action], como seria la sentencia SQL para saber como ha sido la navegacion del usuario?
I recently interviewed for a Data Science Analyst position at Discover Financial, where the process included a recruiter screening and a technical interview. They asked about my experience with financial reporting, data analysis, and how I handle tight deadlines.
Interview questions [1]
Question 1
Can you provide an example of a situation where you had to fine-tune the hyperparameters of an algorithm, such as in your Movie Recommendation System project using ALS for collaborative filtering?
Interview consisted of 3 rounds screening, technical and resume. Screening was a 30 min call with recruiter. Techincal interview was python( numpy and pandas) , SQL and case studies. Fina round was resume based and behavioral
