Data Science Case Study Framework: Master Experimentation & Causal Inference Problems for Junior through Staff Levels

I'm Jonathan—PhD Economist from University of Michigan. I went 12 for 13 in technical case study rounds, with 8 for 8 on final offers at companies like Amazon, Uber, Stripe, Airbnb, and Twitter. Most recently, I've passed Staff DS case study rounds at Netflix and Meta (interviews ongoing as of this course launch). My clients have landed offers at Meta, Google, Uber, Airbnb, TikTok, Snap, Etsy, Discord and more—from junior through staff levels. They consistently report that deep product sense was their key differentiator—helping them identify interesting metrics, design experiments, and apply appropriate causal inference methods. This framework teaches the systematic approach I used: Product Sense (understanding trade-offs and who's affected), Metrics (the four types that matter), and Measurement Strategy (vanilla A/B testing through geo-clustering and observational causal inference). 85 minutes of video training covering experimentation and causal inference case study strategies.

Course•By Jonathan Hershaff

The Data Science Interview Playbook: Specific Patterns and Strategies from 80+ Interview Rounds and 5 Offers in Spring 2026

Built from my experience completing 80+ DS interviews across 13 companies in 5 weeks, securing 5 offers (Google, Uber, Meta, Figma, Attentive) and withdrawing from 4 more final rounds. Success is a learned skill—I went from 1-for-3 to 4-for-5 in final rounds by mastering recurring interview patterns. What's inside: 1. The HR Screen: Foundational stats and background positioning. 2. Experience & Behavioral: Building an anchor project that survives intense technical probing. 3. Applied Coding: SQL escalation, applied Python (no LeetCode), and AI-assisted coding. 4. Stats & Experimentation: Layered interrogation, SUTVA violations, and OLS mechanics. 5. ML & Modeling: Translating ambiguous business problems into targets and diagnosing overfitting. 6. Product Sense: How to correctly diagnose and ace the 6 distinct case study archetypes. Designed for all levels (entry to staff). Includes real-world practice problems, multi-level answer frameworks, and AI mock-interview guides.

Course•By Jonathan Hershaff

What's The Impact? Causal Inference and Experimentation Membership

Membership