Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Estimate Super Bowl QR Code Scan Rate Using Historical Data
Estimate Super Bowl QR Code Scan Rate Using Historical Data Estimating QR Scan and Sign-up Conversion for a Super Bowl TV Ad Scenario A Super Bowl TV ...
Describe Your Most Challenging Project and Its Outcome
Describe Your Most Challenging Project and Its Outcome Tell me about the most challenging project, situation, or thing you have worked on as a data sc...
Navigate Conflicting Priorities in Cross-Functional Collaboration
Navigate Conflicting Priorities in Cross-Functional Collaboration Behavioral Interview: Cross-Functional Collaboration, Trade-offs, and Working Style ...
Deliver a Data Solution Under Tight Deadlines
Deliver a Data Solution Under Tight Deadlines Behavioral Prompt: Delivering Under a Tight Timeline Scenario A critical product launch date was moved u...
Explain Decision-Tree Training and Clustering Algorithms
Explain Decision-Tree Training and Clustering Algorithms Decision Trees and Clustering: Training Mechanics and Core Principles Context Technical/phone...
Evaluate Ensemble Models for Bias-Variance, Speed, and Interpretability
Evaluate Ensemble Models for Bias-Variance, Speed, and Interpretability Large-Scale Recommendation System: Ensembles, Overfitting, Metrics, Architectu...
Describe Facebook User Comment Distribution Shape and Justification
Describe Facebook User Comment Distribution Shape and Justification Characterizing Comments per User on Facebook Context You are analyzing the number ...
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature Facebook Groups Product Health and Feature Experiment Design Context You are eval...
Explain Treatment Results and Recommend Launch Criteria for Experiments
Explain Treatment Results and Recommend Launch Criteria for Experiments A/B Test Interpretation, Launch Decision, Segmentation, and Multiple-Testing C...
Design Push-Notification System for Airport Surge Pricing
Design Push-Notification System for Airport Surge Pricing Designing Airport Surge Push Notifications for Drivers Context You are building a real-time ...
Explain Causal-Inference Techniques in Your Machine Learning Project
Explain Causal-Inference Techniques in Your Machine Learning Project Technical Deep-Dive: ML Project With Causal Inference Prompt Walk me through one ...
Calculate Medical Claims by Age and Gender in 2024
MEMBERSHIP +----+----------+--------+---------+ | id | age_band | gender | zipcode | +----+----------+--------+---------+ | 1 | 18-25 | F | 9...
Calculate Conversion Probability for Male Ad Impressions
Calculate Conversion Probability for Male Ad Impressions Scenario You are estimating conversion probabilities for ad impressions. Before knowing a use...
Assess Probability of Heads in Coin Tosses
Assess Probability of Heads in Coin Tosses Probability with Coin Tosses and the Normal Distribution Context Onsite data scientist screening question a...
Design A/B Test for Cost-Per-Conversion Efficiency Analysis
Design A/B Test for Cost-Per-Conversion Efficiency Analysis Multi-Arm A/B Test: Comparing Cost-Per-Conversion Across Channels Scenario You need to com...
Track Metrics to Measure Push Notification Quality
Track Metrics to Measure Push Notification Quality Scenario A consumer mobile app sends push notifications to drive user engagement. You need to evalu...
Optimize Churn Prediction: Feature Engineering and Model Selection
Optimize Churn Prediction: Feature Engineering and Model Selection Weekly Churn Prediction (10M users): Feature Engineering, Model Choice, Explainabil...
Investigate Causes of Driver WOW Score Drop
Investigate Causes of Driver WOW Score Drop Investigating a 10% QoQ Drop in Driver WOW (Satisfaction) Context Assume WOW is a standardized driver sati...
Estimate Redesign Impact Using Propensity Score Matching
Estimate Redesign Impact Using Propensity Score Matching Scenario A mobile app has been redesigned. Adoption is voluntary: users choose to upgrade to ...
Diagnose Decline in First Day Funding Rate
Diagnose Decline in First Day Funding Rate Diagnostic Case: First-Day Funding Rate Drop Context You are on a product analytics team monitoring onboard...