Interview Query
Interview Query is an adaptive learning platform that supports data scientists, machine learning engineers, and other data professionals in preparing for technical interviews and advancing their careers.
At a Glance
- Individual job seekers (Data Scientists, MLEs, Analysts)
- Academic institutions (Career Centers)
- Technology companies hiring data talent
AI Tools by Interview Query
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Interview Query
Data Science Interview Prep Platform
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Latest News
State of Tech Hiring: Demand for AI Engineers Surges
Analysis: How AI-Driven Layoffs are Shaping the Technical Job Market
State of Interviewing 2025: How AI Quietly Rewired Tech Interviews
Five Years of Bootstrapping: Reflections on Building Interview Query
Products & Services
Includes 300+ Python & SQL questions with solutions, unlimited code submissions, and 3 AI-driven mock interviews per month.
Includes all Coder features plus 500+ case, system-design, and behavioral questions, 10 AI interviews per month, and 10+ specialized courses.
Personalized coaching sessions with data science industry coaches from top companies like Meta, Amazon, and Google.
Market Position
Positioned as 'the Leetcode for data science,' specializing in the niche intersection of coding, statistics, and business intuition that data roles require.
Leadership
Founders
Jay Feng
Co-Founder and CEO. Former Data Scientist at Nextdoor (2016-2018) and Monster (2014-2016). Education: University of Illinois Urbana-Champaign (UIUC).
Shane Frykholm
Co-Founder and CTO. Former Senior Software Engineer at Monster.
Executive Team
Jay Feng
Co-Founder and CEO
Former Data Scientist at Nextdoor and Monster.
Shane Frykholm
Co-Founder and CTO
Former Senior Software Engineer at Monster.
Founding Story
Founder Jay Feng started Interview Query after helping a friend ('Bob') land a high-paying data science job. He noticed that while software engineers had LeetCode, data scientists lacked a structured platform for SQL, probability, and case-study interview preparation.
Business Model
Revenue Model
Subscription-based SaaS (B2C) and partnership-based (B2B/Academic).
Pricing Tiers
Basic access to technical questions and AI interviews.
Full access to all technical and behavioral content, courses, and increased AI interviews.
Target Markets
- Individual job seekers (Data Scientists, MLEs, Analysts)
- Academic institutions (Career Centers)
- Technology companies hiring data talent
- Data science and machine learning interview prep
- Technical skill assessment for hiring
- Academic career services support
- Continuing education for data professionals
- Texas A&M University
- 100,000+ individual members