Invest in yourself and land your dream job with Interview Query

Our Community members get a 25% higher salary than other hires.

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Our resources helped 100,000+ members ace their interviews

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Interview Questions

Prepare with 1000+ authentic questions posed by recruiters ensuring you're always one step ahead in your prep and can confidently tackle any curve ball thrown your way

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Company Guides 

Dive into our extensive 6000+ guides detailing what to expect from the hiring processes, salaries, and asked questions giving you a clear path towards your dream companies.

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Learning Paths

Navigate your data career with our 9 distinct learning paths and 350+ lessons tailored for both beginners and seasoned professionals.

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Coaching

Learn from Industry Experts with 12+ years of experience and gain insights that only insiders can provide, catapulting your learning curve.

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Challenges

Tackle 50+ real take-home challenges from top-tier companies like Amazon, Airbnb, Doordash, and Uber. See exactly what's expected and get guidance with our provided solutions and code snippets.

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Mock Interviews

Practice makes perfect! Engage in mock interviews with peers and mentors from our community, honing your skills and understanding specific company interview processes.

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Slack Community 

Join a thriving community of like-minded individuals. Collaborate, discuss, and gain insights on the data science interview landscape.

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Job Board

Find your next dream job on our data science job board.

Get hired by world's most renowned brands

With Interview Query

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But don’t just take our word for it. Take theirs!

We cover all data science topics

Everything you need, for any and all data science roles.

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Product intuition

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

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Algorithms

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

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SQL & Analysis

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

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Python Scripting

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

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Statistics & AB Testing

Needed to understand the basics of statistics,experiments design, and how to effectively measure and implement AB tests.

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Machine Learning

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

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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.

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Probability

Based on understanding the principles behind many algorithms and models.

Why Interview Query?

Why Interview Query?Jay Feng

CEO, Interview Query

Bob came to me in tears. He showed me his prep materials for his last data science interview with over 100+ coding and algorithms questions completed. But he failed his Meta technical screen when they asked him “What metrics would you track to improve Facebook Groups?”

We spent two hours going over the frameworks for the product analytics interview in preparation for his next LinkedIn one. And then I assigned him 5 case studies. Two weeks later he was staring at a $276K total compensation offer.

During my six-year journey as a data scientist, I found myself on both sides of the interview. I started my career stumbling over linked lists and product analytics questions. And the tail end of it was spent slowly shaking my head at bright eager candidates that couldn’t pass my company’s first technical interview question.

And then I decided to quit my job and Interview Query was born.

Bob was in that same group. It wasn’t that he lacked effort. His preparation was just off-base, he didn’t know what to study or focus on, overwhelmed by the sheer breadth of topics he felt he "should" know.

Data science and engineering interviews span 10 to 12 different topics. And our curated questions bank, detailed company guides and courses are designed to focus your studying on these critical areas, ensuring that you have a roadmap crafted from real experience towards your goal.

Interview Query is the essence of countless stories, experiences, and shared dreams from interviews. It was built by data scientists for data scientists.

And even when the theory was mastered, translating it into practical solutions in an interview setting was a challenge in its own right.

I want everyone to have the same kind of opportunity to land their dream job like Bob did.

Bob, like many, didn’t know that Meta’s data science role focused on SQL and analytics rather than intensive coding.

Thanks for checking out Interview Query, and best of luck with your interviews.

Interview strategies shared by our candidates.

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Alex Clough

Worked at Meta

Data Scientist

How did Alex get his dream data science job?

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Jerry Khong

Worked at U.S. Bank

ML Engineer

Jerry Khong talked to 50+ companies before landing a job. He shares all his learnings in this Q&A.

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Taher Elsheikh

Worked at Apple

Data Scientist

Taher joined Apple as a data scientist - find out how he did it.

Frequently Asked Questions

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