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Machine Learning Scientist Interview Questions

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467 machine learning scientist interview questions shared by candidates

- SQL & Python (Basics) * Basic questions on SQL Joins, Unions, Filtering, String & Date functions, Aggregate functions. * Basic user defined functions, visualizations, pandas functions - SQL (Advanced) * Queries using window functions (Row Number, Rank, Dense Rank), sub-queries in SQL to check approach and logic to solve a problem - Python (Advanced) + ML * user defined functions * Asked to explain one of the projects listed on my resume, few basic ML questions * Exploratory data analysis questions - Apti & HR * questions on Number series and puzzles, basic statistical questions. * HR questions on background, personality check questions, why analytics, why dhiOmics.
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Machine Learning Scientist

Interviewed at dhiOmics Analytics Solutions

3.7★
Sep 1, 2020

- SQL & Python (Basics) * Basic questions on SQL Joins, Unions, Filtering, String & Date functions, Aggregate functions. * Basic user defined functions, visualizations, pandas functions - SQL (Advanced) * Queries using window functions (Row Number, Rank, Dense Rank), sub-queries in SQL to check approach and logic to solve a problem - Python (Advanced) + ML * user defined functions * Asked to explain one of the projects listed on my resume, few basic ML questions * Exploratory data analysis questions - Apti & HR * questions on Number series and puzzles, basic statistical questions. * HR questions on background, personality check questions, why analytics, why dhiOmics.

All the interviews were very thorough from a scientific and technical perspective. I particularly enjoyed discussing computational medicine and advanced statistical learning, such as normalizing flows, Bayesian methods, and uncertainty quantification, with the researchers, the head of AI, and the CSO.
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Machine Learning Research Scientist

Interviewed at Spiden AG

4.8★
Feb 7, 2024

All the interviews were very thorough from a scientific and technical perspective. I particularly enjoyed discussing computational medicine and advanced statistical learning, such as normalizing flows, Bayesian methods, and uncertainty quantification, with the researchers, the head of AI, and the CSO.

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