Como você explica um modelo de machine learning complexo para um stakeholder que não tem conhecimento técnico?
Data Scientist Interviews
Data Scientist Interview Questions
In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Top Data Scientist Interview Questions & How to Answer
Question 1
Question #1: Which data modeling techniques do you prefer and why?
How to answer
How to answer: Turning data into understandable and actionable information is a critical part of the data scientist's job. This question allows employers to understand your data modeling skills and background. List and discuss your preferred data modeling techniques, including benefits such as ease of use, flexibility, etc.
Question 2
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
How to answer
How to answer: Questions like this one allow an employer to test your problem-solving skills. When answering open-ended questions such as these, feel free to ask clarifying questions and use whiteboards to demonstrate your coding and diagramming skills. Share your thought process as you work through the problem.
Question 3
Question #3: Describe circumstances that require a list, tuple, or set in Python.
How to answer
How to answer: Interviewers will use questions such as this one to test your Python programming skills. Review Python basics such as lists, tuples, and sets before your interview. You should be able to explain when and how each tool is used by data scientists.
54,405 data scientist interview questions shared by candidates
They asked a lot of work style and personality questions. I gathered that personality was very important to them. They really wanted someone that everyone in the group would like and want to work with.
The hardest one was related to the indices cycles in an array.
Nothing sophisticated. Not even sure, if they prepped questions for the interview or just ask a random question for the sake of asking.
given a binary array, find the maxi length of a contiguous subarray with equal number of 0 and 1
Choose you favourite ML algo/model (went for SVMs). Then various in-depth questions such as why it is, kernels, etc.
coding questions: sorting, searching, some data structure and complexity data science questions: test case, ML algorithms, feature engineering, basic statistics
DNA Programming
Wenn ich eine Menge vorgersagen wollte (bspw. die Anzahl verkaufter Äpfel), welchen Algorithmus könnte ich bspw. verwenden und welche Verteilung sollte ich zugrunde legen.
How do you handle a project that involved working across multiple functions.
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