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Statistics
4 years ago
What is the distinction between type I and type II errors when conducting a hypothesis test? And do you believe one is more detrimental than the other?
Data Scientist

Ancestry

Scribd

DataRobot

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4 years ago
Behavioral
4 years ago
Tell me about a time where you took an unpopular decision
Data ScientistSoftware EngineerTechnical Program ManagerBackend Engineer

Ancestry

Deliveroo

Pendo

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4 years ago
ML Knowledge
4 years ago
In what scenarios would you prefer a confusion matrix over an ROC curve for performance assessment, and vice versa?
Data ScientistMachine Learning Engineer

Ancestry

Udacity Logo

Udacity

Splunk Logo

Splunk

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4 years ago
ML Knowledge
4 years ago
What do you look at to determine which algorithm to use for a particular machine learning problem?
Data Scientist

Ancestry

Springboard Logo

Springboard

Huawei Logo

Huawei

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4 years ago
Behavioral
4 years ago
Tell me about a performance rating that you disagreed with.
Data ScientistFull Stack Software EngineerData AnalystData Engineering Manager

Ancestry

Magic Leap Logo

Magic Leap

Proofpoint Logo

Proofpoint

During my tenure at Cisco, I participated in a project where I collaborated with a devops team and testing team to accomplish the resource allocation . At the end of the project, each intern received an evaluation from our direct supervisor. I was surprised to find that my performance rating was lower than I expected, given the contributions I felt I had made.

Task:I wanted to understand the basis for the rating and felt it was important to clarify any discrepancies between my self-assessment and the supervisor’s perception. My goal was to maintain a positive relationship while advocating for the work I had done.

Action:I requested a brief, one-on-one meeting with my supervisor. In that meeting, I calmly listened to their feedback to understand their perspective fully. Then, I shared specific examples of my contributions:

  • How I had taken the lead on documenting the current resource allocation and new resource allocation based on my experience.

  • My involvement in proper resource allocation resulted in 25% reduction of P1 issues due to resource allocation.

  • The additional responsibilities I took on to get all resource approvals and helm script changes went unnoticed.

I also provided the documentation and metrics I’d been tracking to illustrate the impact of my work. By centering the conversation on factual evidence and outcomes, I was able to highlight aspects of my contribution that might have been overlooked initially.

Result:After reviewing these points, my supervisor acknowledged that some of my behind-the-scenes work wasn’t fully visible to them.  we agreed to have more frequent check-ins going forward. This experience taught me the value of proactive communication and documentation, ensuring that both my manager and I have a clear view of my responsibilities and achievements.

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4 years ago
ML Knowledge
4 years ago
How would you explain bootstrapping, and do you advocate its use for increasing sample sizes?
Data ScientistMachine Learning Engineer

Ancestry

Atlassian Logo

Atlassian

Dell Logo

Dell

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4 years ago
Behavioral
4 years ago
Do you find it difficult to manage your workload in your current position?
Data ScientistFull Stack Software EngineerFrontend EngineerQuality Assurance Engineer

Ancestry

Hired Logo

Hired

Mailchimp Logo

Mailchimp

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4 years ago
ML Knowledge
4 years ago
Outline some time series analysis methodologies besides ARIMA.,
Data Scientist

Ancestry

Benchling Logo

Benchling

Broadcom Logo

Broadcom

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4 years ago
Behavioral
4 years ago
Share a story about your failure at work.
Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Ancestry

Capital One Logo

Capital One

TuSimple Logo

TuSimple

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4 years ago
Behavioral
4 years ago
Tell me about an experience where you lead a team
Data ScientistBackend EngineerProduct ManagerTechnical Program Manager

Ancestry

Workiva Logo

Workiva

Udacity Logo

Udacity

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4 years ago

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

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