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The Interview Process
Technical Screen
SQL and Python/R coding assessment, often combined with basic probability questions.
Onsite (Virtual) Loop
Four to five interviews testing Data Intuition / Product Sense, Applied Statistics / Machine Learning, Coding (data manipulation), and Behavioral / Googleyness.
Real Google Interview Questions
Practice these exact questions faced by previous Data Scientist (Analytics / Algorithms) candidates.
1We want to run an A/B test on a new YouTube recommendation algorithm, but the network effects between users are strong. How do you design the experiment to avoid interference? (Applied Statistics)
2Write a SQL query (or Python Pandas equivalent) to find the top 3 heavily viewed YouTube videos per category, handling ties appropriately. (Coding / RRK)
3If the number of searches for 'how to make sourdough' spiked by 500% yesterday, how would you determine if it's a bot attack or a genuine trend? (GCA / Product Sense)
4Tell me about a time you had to present complex statistical findings to an executive who fundamentally misunderstood probability. (Googleyness)
5Explain the math behind a Random Forest model and describe a scenario where you would explicitly choose NOT to use it. (Applied Machine Learning)
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