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Behavioral
2 years ago
How did you learn from failing badly? When did you do this?
Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Mastercard

JoyTunes

N26

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

Mastercard

Figma

Duolingo

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2 years ago
ML Knowledge
2 years ago
Can you detail the process by which a bounding box regressor identifies objects?
Data Scientist

Mastercard

Grafana Labs Logo

Grafana Labs

DigitalOcean Logo

DigitalOcean

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2 years ago
Behavioral
2 years ago
Please share an experience where you had to manage a conflict.
Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

Mastercard

Jabil Circuit Logo

Jabil Circuit

Zola Logo

Zola

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2 years ago
ML Knowledge
2 years ago
Would you mind walking me through how you choose between Lasso and Ridge regression models for a particular problem?
Data Scientist

Mastercard

Riot Games Logo

Riot Games

Swiggy Logo

Swiggy

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2 years ago
ML Knowledge
2 years ago
What is the significance of batch normalization and dropout in the machine learning domain?
Data Scientist

Mastercard

LendingClub Logo

LendingClub

Atlassian Logo

Atlassian

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2 years ago
Statistics
2 years ago
What are some common methods for detecting and dealing with multicollinearity?
Data Scientist

Mastercard

Stitch Fix Logo

Stitch Fix

NetEase Logo

NetEase

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2 years ago
Statistics
2 years ago
Would you mind explaining how to distinguish between variance and bias in a model's errors?
Data Scientist

Mastercard

Convoy Logo

Convoy

Rakuten Logo

Rakuten

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2 years ago
Behavioral
2 years ago
What made you decide to join Mastercard?
Data Scientist

Mastercard

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2 years ago
ML Knowledge
2 years ago
What do you know about XGBoosting?
Data Scientist

Mastercard

PayPal Logo

PayPal

Zoom Logo

Zoom

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2 years ago

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

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