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ML CaseML Knowledge

2 years ago

What benchmarks do you utilize for measuring computer vision model performance?

Data Scientist

GoDaddy

Medallia

Google

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2 years ago

Behavioral

2 years ago

Tell me about a time when you received a performance review that you felt was unjustified.

UX DesignerFull Stack Software EngineerData ScientistData Analyst

GoDaddy

Magic Leap

Proofpoint

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2 years ago

Statistics

2 years ago

Could you differentiate between panel data and cross sectional data for me, please?

Data Scientist

GoDaddy

Lyft

Klarna

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2 years ago

Behavioral

2 years ago

Could you provide an instance of a community that you believe in, and how would you make an impact if you had the opportunity?

UX ResearcherProduct ManagerBackend EngineerTechnical Program Manager

GoDaddy

eBay

GlobalBees

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2 years ago

System Design

2 years ago

How would you architect a scalable data lake that can store and process petabytes of structured and unstructured data?

Software Engineer

GoDaddy

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2 years ago

Behavioral

2 years ago

Tell me about a project you are proud of?

Full Stack Software EngineerProduct ManagerBackend EngineerSoftware Engineer

GoDaddy

Cisco

GoodData

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2 years ago

Behavioral

2 years ago

Why are you changing jobs? Why do you think GoDaddy is the best next step for you?

Full Stack Software Engineer

GoDaddy

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2 years ago

ML KnowledgeML Case

2 years ago

Can you outline the stages of implementing a machine learning model into a production environment?

Data Scientist

GoDaddy

Zendesk

Walmart

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2 years ago

System Design

2 years ago

Architect a solution for handling chaos engineering across distributed environments.

Software Engineer

GoDaddy

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2 years ago

ML Knowledge

2 years ago

Do ReLU or sigmoid activation functions better address the problem of vanishing gradients?

Machine Learning EngineerData Scientist

GoDaddy

DigitalOcean

Faire

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2 years ago

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GoDaddy

Product Manager

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Product Strategy

GoDaddy

Engineering Manager

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GoDaddy

Data Scientist

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^*All interview questions are submitted by recent GoDaddy candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-GoDaddy employees.