The most challenging step in my career.
Sr Data Scientist Interview Questions
3,509 sr data scientist interview questions shared by candidates
Q: what was one work that you're really happy about and proud, and describe it on context of your position
Broad level question (needed drill-down with lots of clarifying questions): Given a situation where a major business outcome has been effected negatively, how will you approach diagnosing and solving it?
Question about conditional probability. Coding question in Jupyter Notebook with Python and pandas and a provided csv file.
How you have build the chat bot using gen ai
All chewy behavior questions, TBH I'm bit sick. You need to hire people who can communicate well and get the work done. At work, with certain information, we utilize judgement and creativity to solve problems, write documentation and code. So many qualities are important, not just behavior story telling.
Conocimientos técnicos sobre series de tiempo e inferencia causal.
Hackkerrank some test questions about ML, statistics and 1 Sql, 1 ML, 1 Programming question. Manger and director ask design a machine learning problem which features you use ...
Presentación personal y experiencias laborales previas. Stack técnico que manejo (Git, Airflow, Poetry, SQL, etc.) Por qué me considero un buen candidato para la empresa. Por qué quiero trabajar en Mutt en particular.
The technical rounds and the case study were focused on traditional ML. How would you deal with columns containing hundreds of categories? How would you deal with class imbalance? How does xgboost deal with nan values? What is the difference between oversampling and class weights? What hyper-parameters did you use in your models? How did you decide between one hot encoding and target encoding? What was the loss function used and what the score function used and why they were chosen? Then there were questions regarding one of the projects you did and questions on that? Behavioural round - How would you deal with a low performer in your team? What challenges you have faced? What do you consider as failure? Hypothetical scenarios on linking your models to business KPIs ? How would you manage a project?
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