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ML Knowledge

3 months ago

Could you explain your methodology for selecting the most effective algorithm for a specific machine learning problem?

Data Scientist

Rackspace

Chegg

Cohesity

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3 months ago

Behavioral

3 months ago

Can you discuss a time when you failed at something, and what steps you took to recover from that failure?

Engineering ManagerData Engineering ManagerML Engineering ManagerUX Designer

Rackspace

REI

Lenovo

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3 months ago

Behavioral

3 months ago

Describe a community you are passionate about. If you could contribute in any way, what would you do?

Full Stack Software EngineerUX DesignerUX Researcher

Rackspace

Coinbase

Udacity

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3 months ago

Behavioral

4 months ago

Can you explain to me why you think Rackspace is the right fit?

Backend Engineer

Rackspace

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4 months ago

Behavioral

4 months ago

Describe a time that you took a risk?

Software EngineerML Engineering ManagerData Engineering ManagerData Science Manager

Rackspace

Acorns

Wayfair

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4 months ago

Behavioral

4 months ago

Describe a time when you made a bad decision. What did you learn from this experience?

Software EngineerEngineering ManagerUX DesignerUX Researcher

Rackspace

Genpact

Globant

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4 months ago

Behavioral

4 months ago

What has been your biggest achievement so far.

Data ScientistData Engineering ManagerML Engineering ManagerEngineering Manager

Rackspace

Picnic

Marqeta

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4 months ago

Technical

4 months ago

Can you elaborate on how you'd validate a new process before introducing it to the team at Rackspace?

Engineering Manager

Rackspace

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4 months ago

Behavioral

5 months ago

Share some details about the project you are most proud of.

Frontend EngineerTechnical Program ManagerProgram ManagerSoftware Engineer

Rackspace

ZipRecruiter

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5 months ago

Behavioral

5 months ago

What would you like to gain from the position of {role} at Rackspace - what are some of your key goals?

Frontend Engineer

Rackspace

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5 months ago

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