Design Experiments for Email Campaign & Messaging Update
Company: LinkedIn
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: hard
Interview Round: Onsite
Scenario: Marketing is running an email campaign while Product ships a new messaging function; you must test both.
Question 1: How would you design experiments to isolate each feature’s effect while accounting for potential interaction?
Question 2: Detail how you would calculate sample size, statistical power, and test duration.
Question 3: Discuss strategies for handling interaction effects, such as factorial or staggered rollouts.
Question 4: Explain considerations for sequential testing and maintaining statistical validity.
Quick Answer: This question evaluates competency in experimental design, causal inference, A/B testing methodology, power and sample-size calculations, interaction effect detection, and sequential testing within the Analytics & Experimentation domain for a Data Scientist role, assessing both conceptual understanding and practical application.