Case: Segment users, size sales professionals, and predict adoption for an email-promoted product

Context: You are interviewing for a Data Scientist role focused on analytics and experimentation. Use structured reasoning, make minimal explicit assumptions, and show how you would validate your approach.

Tasks

1. Segment LinkedIn’s user base by identifying and describing the five most salient user archetypes.
2. LinkedIn reports roughly 500 million registered members. Develop a structured approach to estimate how many of them are sales professionals.
3. Design a data-driven framework to predict which members will adopt a new LinkedIn product promoted through an email campaign.

Constraints:

• State assumptions clearly where data are missing.
• Show formulas and small numeric examples where helpful.
• Call out pitfalls, validation steps, and guardrails.