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The Interview Process
Technical Screen
SQL and Python coding assessment, often focusing on data manipulation and basic probability/statistics.
Virtual Onsite
Four interviews. Expect heavy focus on Applied Statistics, Machine Learning theory, Data Processing (SQL/Spark), and translating insights to business impact.
Real Microsoft Interview Questions
Practice these exact questions faced by previous Data Scientist candidates.
1Walk me through how you would build a model to detect anomalous, potentially fraudulent login attempts across the Microsoft 365 ecosystem. (ML/Architecture)
2Write a SQL query to calculate the month-over-month retention rate of users who utilized a specific new feature in Excel. (Technical Rigor/Coding)
3We want to test a new ad-ranking algorithm on Bing, but we have strong network effects. How do you design an A/B test to account for this? (Applied Statistics)
4Tell me about a time you built a complex model that demonstrated incredible accuracy, but the business stakeholders couldn't understand it and refused to use it. (Growth Mindset / Communication)
5How do you determine if a sudden spike in Teams usage is a genuine trend or a data artifact caused by a logging error? (Curiosity / Customer Obsessed)
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