Crack Your Data Science Interviews
Ready to land your next Data Science role in top tech? This free 3-part series covers everything that matters — decoding DS roles, mastering A/B testing, and understanding how big tech evaluates product sense, experimentation, and AI fluency. Your preparation starts here.
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Fri Jun 5·4:00 PM UTC
Decoding Data Science Roles
You've built real experience — now it's time to use it strategically. Data science has split into distinct roles, each with its own skill demands and growth path. This session gives you the role map, the skills breakdown, and the strategies to pinpoint exactly where you fit, close your gaps, and land your next role faster. Stop guessing. Start moving with intention. Your next move starts here.
You'll learn from
Siddarth R
Director of Data Science, Microsoft
Fri Jun 12·4:00 PM UTC
Cracking A/B Testing Interviews
A/B testing questions are one of the most commonly asked question in data science interviews. If you want to perform well in interviews, you need more than textbook A/B testing. You need to show that you can reason under ambiguity, make tradeoffs explicit, and connect experiments to real business decisions. This lightning lesson is designed to help you do exactly that
You'll learn from
Siddarth R
Director of Data Science, Microsoft
Fri Jun 19·4:00 PM UTC
How Big Tech Actually Evaluates DS Candidates
Product DS is one of the most sought-after — and most rewarding — roles in the DS landscape. Many candidates bring a strong technical foundation, sharp analytical thinking, and real business experience to the table. The opportunity lies in channeling that into the right areas — product sense, experimentation design— while staying ahead of an evolving hiring bar that increasingly values AI fluency
You'll learn from
Siddarth R
Director of Data Science, Microsoft