How would you benchmark an object detection model acting over a vide stream? For example, a model that is meant to detect alcohol consumption scenes in a video.
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: Which data modeling techniques do you prefer and why?
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
Question #3: Describe circumstances that require a list, tuple, or set in Python.
54,373 data scientist interview questions shared by candidates
Difference between supervised and unsupervised machine learning
Technical problem and Personality questions.
regular old fashioned interview.. not STAR type, tell me about yourself, what is your role, define your role, what are your expectations, what is your salary expectation, expamples of hard situation that you faced. how did you manage hard people, what is your style of conflict resolution, how do you manage team, how do you work in cross functional team. did you work in global studies
All about sciences were asked
why would you like to work in this job, what are career aspirations, and what would you not want to do in your next job etc..
Why are you leaving your current company to come work for Abbvie?
What is F1 score? When do we prefer AUC over accuracy? What is the formula for Sigmoid function?
nothing memorable. asking you about typical interview questions, "tell me a time when..."
What project would you be willing to carry out here at AstraZeneca?
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