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Do US members upload more videos than non-US?

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in analytics and experimentation, specifically metric design, confounder control, cohorting, and statistical inference for comparing user behavior across segments.

  • easy
  • LinkedIn
  • Analytics & Experimentation
  • Data Scientist

Do US members upload more videos than non-US?

Company: LinkedIn

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: Technical Screen

You suspect video posting adoption differs between US and international members. ### Tables `members` - `memberid` INT (PK) - `country` VARCHAR (e.g., `'usa'`, `'uk'`, `'india'`) - `join_date` DATE `video_posts` - `post_date` DATE - `memberid` INT (FK → `members.memberid`) - `video_length` INT — seconds ### Business question Do **US members** upload **more videos** than **non-US members**? ### Requirements 1. Propose: - a **primary metric** and at least one **diagnostic metric** and **guardrail**. 2. Explain how you would make a fair comparison given confounders such as: - different member base sizes, - different tenure (older cohorts post more), - different observation windows. 3. Provide an analysis approach (SQL and/or Python) including: - cohorting / normalization strategy, - statistical testing or uncertainty estimation, - how you would interpret results and communicate limitations. Assume you have all of Feb 2020 data available (or specify an alternative fixed window).

Quick Answer: This question evaluates a data scientist's competency in analytics and experimentation, specifically metric design, confounder control, cohorting, and statistical inference for comparing user behavior across segments.

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LinkedIn
Feb 1, 2026, 5:10 AM
Data Scientist
Technical Screen
Analytics & Experimentation
4
0

You suspect video posting adoption differs between US and international members.

Tables

members

  • memberid INT (PK)
  • country VARCHAR (e.g., 'usa' , 'uk' , 'india' )
  • join_date DATE

video_posts

  • post_date DATE
  • memberid INT (FK → members.memberid )
  • video_length INT — seconds

Business question

Do US members upload more videos than non-US members?

Requirements

  1. Propose:
    • a primary metric and at least one diagnostic metric and guardrail .
  2. Explain how you would make a fair comparison given confounders such as:
    • different member base sizes,
    • different tenure (older cohorts post more),
    • different observation windows.
  3. Provide an analysis approach (SQL and/or Python) including:
    • cohorting / normalization strategy,
    • statistical testing or uncertainty estimation,
    • how you would interpret results and communicate limitations.

Assume you have all of Feb 2020 data available (or specify an alternative fixed window).

Solution

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