Unlike trivial-style questions, case studies test what actually matters: your ability to break down messy problems, structure your thinking, and communicate solutions that are grounded in data and business context.
These are the kinds of scenarios that you’ll face in product analytics, experimentation, growth, and strategy roles (especially at companies like Meta, Amazon, and Uber).
This is a PDF file containing 30+ case studies (mostly from top tech companies), each with a corresponding guide to help you answer them effectively.
Each guide is carefully structured to reflect how real-world data science interviews work and what hiring managers are looking for in the ideal answer.
These project ideas have been carefully curated, based on thorough market research and my 7+ years of experience in this career, to reflect common case study questions you will encounter in Data Science interviews at tech companies.