Data Scientist Data Analysis Interview Questions

Review this list of 12 Data Analysis Data Scientist interview questions and answers verified by hiring managers and candidates.

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Asked at Meta • 2 years ago
Imagine you're a data scientist at Meta. There's been a sudden 10% drop in Facebook's daily post views. How would you investigate?
Data Scientist
Data Analysis
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6 answers
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"Clarify the goal of this exercise first. Diagnose the causes driving a 10% drop in facebook post views and recommend solutions to restore or grow post views. Ask clarifying questions and make assumptions where needed Clarifying Questions Is the drop in daily post views global or limited to a particular geographic region? Is the drop across all user segments or limited to certain demographics ? Are all types of posts impacted (text, image, video) ? Was"
Saurabh K. - "Clarify the goal of this exercise first. Diagnose the causes driving a 10% drop in facebook post views and recommend solutions to restore or grow post views. Ask clarifying questions and make assumptions where needed Clarifying Questions Is the drop in daily post views global or limited to a particular geographic region? Is the drop across all user segments or limited to certain demographics ? Are all types of posts impacted (text, image, video) ? Was"See full answer
Data Scientist
Data Analysis
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Asked at Meta • 2 years ago
Imagine you are a data scientist for Instagram. How would you balance ads and follower posts and how would you monitor its effectiveness.
Data Scientist
Data Analysis
1 answer
"Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"
Vishal S. - "Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"See full answer
Data Scientist
Data Analysis
Asked at Meta • 2 years ago
How would you determine if Facebook Messenger should introduce group calling?
Data Scientist
Data Analysis
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2 answers
"Clarifying Questions and possible responses: both audio and video goals: increase engagement time among groups/communitites and not require another platform to do group call (be one-stop for communication) region-TBD ios/android only available to users in a group to call users within the group who can intitiate these calls?- only admin? or anyone? metrics:NSM: feature engagement (C), number of calls made in a week per user (C). PM: % of people joining the call in a group"
theproductguy - "Clarifying Questions and possible responses: both audio and video goals: increase engagement time among groups/communitites and not require another platform to do group call (be one-stop for communication) region-TBD ios/android only available to users in a group to call users within the group who can intitiate these calls?- only admin? or anyone? metrics:NSM: feature engagement (C), number of calls made in a week per user (C). PM: % of people joining the call in a group"See full answer
Data Scientist
Data Analysis
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Asked at DoorDash • 4 months ago
The company observes that drivers spend significantly less active time on grocery store orders compared to convenience store orders. What next steps would you take?
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Data Analysis
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Data Scientist
Data Analysis
Asked at Stripe • 5 years ago
How can Stripe use data to predict the optimal time to retry a transaction?
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Asked at Netflix • 2 years ago
Imagine you are a data scientist for Netflix. How would you use data to decide whether a TV series is worth renewing?
Data Scientist
Data Analysis
1 answer
"Goals : Determine if the TV series should be renewed If it should be renewed, how much should Netflix be willing to pay for this series Let's assume that the goal is to maximize subscriber retention and engagement while paying a reasonable amount for the licensing costs that is justified by the value added by the series. Assumptions : The show is exclusive to Netflix for a particular region (for eg. US) It has been on the platform for an year Netflix has subscriber level data around"
Saurabh K. - "Goals : Determine if the TV series should be renewed If it should be renewed, how much should Netflix be willing to pay for this series Let's assume that the goal is to maximize subscriber retention and engagement while paying a reasonable amount for the licensing costs that is justified by the value added by the series. Assumptions : The show is exclusive to Netflix for a particular region (for eg. US) It has been on the platform for an year Netflix has subscriber level data around"See full answer
Data Scientist
Data Analysis
Asked at DoorDash • a year ago
How would you investigate a week-over-week 10% drop in successful deliveries?
Data Scientist
Data Analysis
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Data Scientist
Data Analysis
Asked at DoorDash • 20 days ago
How do you present insights to non-technical stakeholders?
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Data Analysis
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Data Scientist
Data Analysis
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You’re told engagement is flat even though new users are increasing—what questions would you ask and what data would you look at?
Data Scientist
Data Analysis
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Data Scientist
Data Analysis
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After launching a new recommendation engine, how would you measure its impact on revenue?
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Data Analysis
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Data Scientist
Data Analysis
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How would you measure engagement for a productivity app? What features or behaviors would you track?
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Data Analysis
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Data Scientist
Data Analysis
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The product team reports a decline in 30-day user retention. How would you approach this problem?
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Data Scientist Data Analysis Interview Questions

Imagine you're a data scientist at Meta. There's been a sudden 10% drop in Facebook's daily post views. How would you investigate?

Imagine you are a data scientist for Instagram. How would you balance ads and follower posts and how would you monitor its effectiveness.

How would you determine if Facebook Messenger should introduce group calling?

The company observes that drivers spend significantly less active time on grocery store orders compared to convenience store orders. What next steps would you take?

How can Stripe use data to predict the optimal time to retry a transaction?

Imagine you are a data scientist for Netflix. How would you use data to decide whether a TV series is worth renewing?

How would you investigate a week-over-week 10% drop in successful deliveries?

How do you present insights to non-technical stakeholders?

You’re told engagement is flat even though new users are increasing—what questions would you ask and what data would you look at?

After launching a new recommendation engine, how would you measure its impact on revenue?

How would you measure engagement for a productivity app? What features or behaviors would you track?

The product team reports a decline in 30-day user retention. How would you approach this problem?

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