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ML Knowledge
3 years ago
What are some common mistakes people make when using DBSCAN?
Data Scientist

Microsoft

Mozilla

Fitbit

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3 years ago
Statistics
3 years ago
Explain the methods you have used to detect outliers in your previous projects?
Data Scientist

Microsoft

Benchling

Ripple

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3 years ago

Use the STAR Methodology: Structure your responses using the STAR approach (Situation, Task, Action, Result). This helps in providing comprehensive answers and demonstrating your problem-solving process effectively. Engage with the Interviewer: Ask clarifying questions to ensure you understand the context and specifics of what is being asked. This shows your engagement and helps tailor your answers more accurately. After answering, check in with the interviewer by asking if they need further clarification or if they understood your response. This ensures your answers are clear and addresses any follow-up questions they might have.

— Data Scientist from Microsoft (coach #BW272K)Book a slot with this coach
Behavioral
3 years ago
Describe your work experience in 1 minute
Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

Microsoft

Epic Games Logo

Epic Games

New Relic Logo

New Relic

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3 years ago
Analytics Case
3 years ago
How do you approach estimating a user's lifetime value?
Data Scientist

Microsoft

Mozilla

Twilio Logo

Twilio

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3 years ago
Behavioral
3 years ago
Tell me about a time when you delivered over and beyond expectations
Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

Microsoft

Figma Logo

Figma

Duolingo Logo

Duolingo

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3 years ago
ML Knowledge
3 years ago
Explain the concept of gradient boost and how it works in the context of machine learning?
Data Scientist

Microsoft

Hitachi Logo

Hitachi

Grubhub Logo

Grubhub

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3 years ago
Metrics and Experimentation
3 years ago
From your point of view, what are some key elements to consider when constructing a metric to compare two user's Netflix recommended lists of movie/tv show preferences?
Data Scientist

Microsoft

Square Logo

Square

Segment Logo

Segment

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3 years ago
ML Knowledge
3 years ago
Describe the differences between neural networks and support vector machines (SVMs), and the types of problems for which each method is best suited.
Data Scientist

Microsoft

Infineon Logo

Infineon

SAP Concur Logo

SAP Concur

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3 years ago
ML Knowledge
3 years ago
What hurdles do you encounter while training deeply layered neural networks?
Data Scientist

Microsoft

Google Logo

Google

Avito Logo

Avito

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3 years ago
SQL
3 years ago
Imagine a messages table in SQL with fields id, sender_id, receiver_id, and message. What is the method you would use to determine the set of unique communicators?
Data Scientist

Microsoft

Yandex Logo

Yandex

Deloitte Logo

Deloitte

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3 years ago

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*All interview questions are submitted by recent Microsoft Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Microsoft.

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