Preparing for data science interviews can feel overwhelming. From writing efficient SQL queries to navigating complex machine learning algorithms or explaining A/B testing results, the range of topics is wide—and the bar is high.
That’s why we built this platform: to help you focus your preparation with curated, categorized, and practical questions that reflect real-world data science interviews at top tech companies.
A Question Bank Built for Success
Our interview question bank is designed to help you practice by topic, build intuition, and gain confidence. Whether you're aiming for a data analyst, machine learning engineer, or product data scientist role, we’ve got you covered.
🎯 Core Topics You’ll Find
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SQL and Database Design
Practice query writing, optimization, window functions, joins, and schema design questions that test your logic and performance tuning skills. -
A/B Testing and Experimentation
Master experiment design, statistical significance, common pitfalls, and interpretation strategies frequently asked in product analytics interviews. -
Product Sense and Metrics Design
Learn how to approach vague questions like “What metrics would you track for feature X?” or “How would you measure success?” -
Statistics and Probability
Solidify your knowledge in hypothesis testing, distributions, confidence intervals, and Bayesian thinking. -
Machine Learning Concepts
Tackle algorithm intuition, model evaluation, overfitting/underfitting, feature engineering, and more—without needing to memorize every math formula. -
System Design for Data
Understand how data flows, where it’s stored, and how to build scalable data pipelines and analytics systems.
Why It Matters
Most candidates fail not because they don’t know the content—but because they don’t know how to communicate their thinking under pressure. Our questions are crafted to help you practice out loud, think clearly, and simulate the types of questions you’ll face in interviews.
More Than Just Questions
Alongside each question, we provide:
- Hints to get you unstuck without spoiling the challenge
- Detailed solutions with structured thinking
- Breakdowns of how interviewers evaluate answers
Your Data Career Starts Here
Whether you're prepping for your first interview or aiming to land a senior role, our platform gives you the edge you need. Start with the questions most relevant to your target role—or explore them all to become a more well-rounded data scientist.