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Ace your data science interview.

Everything you need to approach your next job interview with full confidence.

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Practice real data science interview questions

Develop your skills and prepare for your interview using over 500+ real questions from the biggest data companies in data science.

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Take the data science challenge for free!

Test your generalized data science knowledge against your peers.

Should take around 15 to 30 minutes to complete.

Difficulty: Medium

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Stop wasting time trying to figuring out what to study

Get an inside look into data science companies and roles. Interview Query curates your job search so you know exactly what to expect before the interview and after you get the job.

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Company Guides

In-depth research into the interview process at over 1,600+ top tech companies

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Salary Comparison

See how your offer compares to your peers and segment data by company, location, position and seniority.

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Interview Experiences

Discover first hand insights and experiences directly from past interviewees

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Data Science Job Board

Curated list of the best data science jobs available complete with guides to help you ace the interview.

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Challenge Quizzes

Take one of our challenge quizzes and get your performance score to understand your skill level relative to your peers.

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We sort the interview questions into relevant topics so you can focus on getting the job

Product Intuition

Understanding how to solve problems before pulling data and how to showcase analytical knowledge to empower business decisions.

Algorithms

These questions test how to write complex implementations of data structures and algorithms for machine learning and engineering focused roles.

SQL & Analysis

Tests data analytics, ability to pull your own data for building models, and different interpretation of datasets and metrics.

Python Scripting

Test basic skills within coding in Python such as text parsing, reading files for writing scripts or building features out of datasets in Pandas.

Statistics & A/B Testing

Needed to understand the basics of statistics, experiment design, and how to effectively measure and implement A/B tests.

Machine Learning & System Design

Understanding of how to build, deploy, and test machine learning models in production as well as how to architecting database design for scale.

Modeling

A focus on testing the interpretation and validation of model building, model case studies, and showcasing an understanding of tradeoffs between technical and business decisions.

Probability

Based on understanding the principles behind many algorithms and models.

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Get support and guidance on your data science journey

Nobody has to go it alone. Be part of a community of data scientists of all levels, where you can ask questions, get advice, and find coaching to help you on your career journey.

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We've helped 1,000+ premium members get placed at top tech companies, such as Meta

Question Bank

Access 500+ interview questions with solutions we have in our database, including real take-home exercises companies use in interviews.

Interview IDE

Work on practice questions directly from our in-browser code editor.

Adaptive Content

Get customized practice recommendations and study guides for your goals based on responses to our challenge questions

Rich Coursework

Full access to over 30 hours of course content that specifically geared towards reviewing what you need to know to ace your technical interviews.

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This is how acing interviews feels like