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Asked at Pinterest • 4 months ago
Tell me about a project when you had to translate data into insights for the team/client you were working with.
BizOps & Strategy
Data Analysis
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BizOps & Strategy
Data Analysis
Asked at Traba • 4 months ago
What does strategy mean to you?
BizOps & Strategy
Product Strategy
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BizOps & Strategy
Product Strategy
Asked at Paxos • 4 months ago
Within the Blockchain Industry, where do you think Stablecoins have the most potential?
BizOps & Strategy
Product Strategy
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BizOps & Strategy
Product Strategy
Asked at Opentable • 4 months ago
How does OpenTable make money?
BizOps & Strategy
Product Strategy
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BizOps & Strategy
Product Strategy
You’re given product adoption data across regions—how would you determine where the rollout was most successful and why?
Data Scientist
Data Analysis
+1 more
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Data Scientist
Data Analysis
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Why might you use volatile instead of synchronized?
Technical
Concept
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Technical
Concept
A PM proposes changing Instagram’s messaging system to allow interactions with third-party businesses. How would you determine whether the change is a good idea?
Execution
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Execution
Explain the Central Limit Theorem (CLT) and why it is useful.
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
What is A/B testing and when should it be used?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Asked at Meta (Facebook) • 14 days ago
A user advocacy group raises concerns about accessibility for individuals with hearing disabilities. What are some product improvements for Facebook Live and Videos, and how would you define succes...
Data Scientist
Execution
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Data Scientist
Execution
How would you identify a conversation in comments?
Data Scientist
Execution
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Data Scientist
Execution
Meta plans to launch a new video feature for young adults. How would you assess product-market fit and define success metrics?
Execution
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Execution
Describe hypothesis testing and p-values in layman’s terms.
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Explain the statistical background behind power.
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Why might an unbiased estimator not always be preferred over a biased one?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
What are the common pitfalls of A/B testing?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Say you are testing hundreds of hypotheses, each with a t-test. What considerations would you take into account when doing this?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How would you explain the importance of sampling distribution in inferential statistics?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Compare covariance and correlation.
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation

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Interview Questions

Tell me about a project when you had to translate data into insights for the team/client you were working with.

What does strategy mean to you?

Within the Blockchain Industry, where do you think Stablecoins have the most potential?

How does OpenTable make money?

You’re given product adoption data across regions—how would you determine where the rollout was most successful and why?

Why might you use volatile instead of synchronized?

A PM proposes changing Instagram’s messaging system to allow interactions with third-party businesses. How would you determine whether the change is a good idea?

Explain the Central Limit Theorem (CLT) and why it is useful.

What is A/B testing and when should it be used?

A user advocacy group raises concerns about accessibility for individuals with hearing disabilities. What are some product improvements for Facebook Live and Videos, and how would you define succes...

How would you identify a conversation in comments?

Meta plans to launch a new video feature for young adults. How would you assess product-market fit and define success metrics?

Describe hypothesis testing and p-values in layman’s terms.

Explain the statistical background behind power.

Why might an unbiased estimator not always be preferred over a biased one?

What are the common pitfalls of A/B testing?

Say you are testing hundreds of hypotheses, each with a t-test. What considerations would you take into account when doing this?

How would you explain the importance of sampling distribution in inferential statistics?

Compare covariance and correlation.

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