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."
Design classification under missingness and imbalance
30-Day Readmission Classifier: End-to-End Plan Context: You are building a binary classifier to predict 30-day readmission using claims and EHR featur...
Design an end-to-end spam detection system
Design an End-to-End Email Spam Detection System You are asked to design a production-grade email spam detection system that meets the following const...
Quantify improvement and compute required sample size
A/B Test on Spam Rate: Sample Size, Inference, and Practical Pitfalls Context: You are evaluating a new classifier that aims to reduce the spam rate (...
Diagnose drop and assess metric change impact
This question evaluates a data scientist's competency in diagnostic analytics, instrumentation validation, causal attribution, experimentation design,...
Compute C/T metrics from bookings and visits
Given two tables, compute control vs treatment (C/T) metrics, apply 24‑hour attribution, and generate a daily plot. Treat “today” as 2025‑09‑01; use t...
Analyze DAU comments distribution and resampling
Consider the metric comments_per_DAU (number of comments a daily active user makes in a day). a) Shape: Describe and justify the expected distribution...
Design success and guardrail metrics
You are launching a new recommendation module on a content platform. Design a metrics framework and an experiment plan. A) Define one primary success ...
Write rolling-window SQL over weekly cohorts
You have two tables: users and transactions. Write a single SQL query (use CTEs) to produce, for each calendar week and user, weekly_revenue, a 4-week...
Reduce overfitting under constraints
Reduce Overfitting Under Latency Constraints (Tabular Regression) Context (assumed) - You have a tabular regression model with a large generalization ...
Select interest thresholds under skewness and cost
Profit-Optimal Threshold Selection from an Interest Score You have a per-user interest_score s ∈ [0, 1] for a new feature. The score distribution appe...
Navigate reschedules, offers, and team-match uncertainty
Behavioral + Due Diligence + Risk Management (Data Scientist — Onsite) Context You are a Data Scientist candidate approaching an onsite. You are juggl...
Solve a challenge using data
Tell Me About a Time You Solved a High-Stakes Problem With Data You are interviewing for a Data Scientist role and the hiring manager asks you to demo...
Tune classifier and compute key metrics
This question evaluates practical proficiency in classifier evaluation, threshold tuning, precision/recall trade-offs, cost-sensitive decision rules, ...
Define market-only rider experience metrics
Market-only Rider Experience Metrics and Market Balance Index (MBI) You are designing a metric suite for a rides marketplace where "rider experience" ...
Build an uplift model for targeting
Flu-shot Campaign: Treatment-Effect Modeling and Targeting Policy You have historical campaign logs from last season that include randomized holdouts....
Design a flu-shot A/B/n campaign experiment
Fall 2025 Flu Vaccination Uplift Experiment — Design and Evaluation Context (assume a large US pharmacy with loyalty IDs) - Audience: Adults with loya...
Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Present an end-to-end project and defend decisions
End-to-End Project Presentation + Deep-Dive Follow-ups Instructions (10 minutes, max 5 slides) Present an end-to-end project you led that shipped to r...
Choose cashback segment and model post-launch impact
Credit-Card Cashback Launch: Segment Prioritization and Measurement Plan Context You are evaluating which customer segment to launch a new cashback fe...
Experiment on increasing order notifications
Experiment Design: Increasing Order‑Related Push Notifications Context You are asked to design, measure, and make decisions about increasing order‑rel...