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 a restaurant recommender under constraints
This question evaluates a candidate's competency in designing scalable machine learning recommender systems, covering retrieval and ranking architectu...
Assess transition and profitability under fossil-fuel constraints
Energy One: Transition from Fossil Fuels to Renewables Context Energy One currently has a total technical maximum output of 8.8 million MWh/year. Regu...
Explain a non-linear industry switch
Behavioral Interview Prompt — Transition from Semiconductor to SaaS Analytics You are in an HR screen for a Data Scientist role. The interviewer chall...
Measure rider incentive causal ROI
Rider Incentive Targeting: Causal Incrementality, ROI, and Spillovers Context: You plan a rider‑side incentive (e.g., “20% off up to $10”) targeted by...
Choose estimators for panel rent regressions
Panel Rent–Vacancy Elasticity and Inference: Design, SEs, and Time-Series Diagnostics Context You have a monthly property-level panel from 2010-01 to ...
Model session times and comments with exponential/Poisson
Session Duration Memoryless Assumption and Poisson Comment Counts Setup - We model user session end times with a constant hazard (memoryless) over tim...
Compute optimal stopping in a die-rolling game
Optimal stopping with a fair die (3-roll horizon) You observe outcomes of fair six-sided die rolls (faces 1–6) and may stop after any roll to take the...
Explain fit for Capital One BA
Behavioral Prompt: 2‑Minute Pitch for a Business Analyst Interview at Capital One Task Deliver a concise, 2‑minute response that covers: 1. Who you ar...
Optimize theme park queues and revenue
Virtual Queue Pilot: Experiment Design and Analysis Context A theme park is piloting a virtual queue system designed to reduce average wait time by 20...
Compare Random Forests vs Gradient Boosting rigorously
Technical ML Choice: Random Forest vs. Gradient-Boosted Trees for Large-Scale Binary Classification Problem Setup You need to choose between a Random ...
Design a robust pro-ranking A/B test
Experiment Design: Evaluating a New Pro Ranking Algorithm (Ranker) in a Two‑Sided Marketplace You are designing an experiment to evaluate a new pro ra...
Build a defensible ML pipeline end-to-end
This question evaluates a data scientist's competence in designing and defending an end-to-end production ML pipeline for mixed tabular data, assessin...
Compute browsing metrics in Python from logs
Given event logs, write idiomatic Pandas to compute segment-level metrics and a funnel. Data schema: events(event_id, ts_utc, guest_id, device in {des...
Design robust metrics for a feature launch
A/B Test Metrics and Guardrails for Quick Reply (1-week) Context You are adding a Quick Reply feature (suggested reply chips in the DM composer) to a ...
Explain a favorite model end-to-end
Predictive Model Deep-Dive (End-to-End) Pick one predictive model you know deeply (e.g., logistic regression, gradient-boosted trees, transformer clas...
Design real-time payments fraud model under constraints
Real-Time ML Policy Design: Prevent Unauthorized Purchases by Minors Context: You need to reduce unauthorized purchases by minors using their parents'...
Design an A/B test for pre-roll ads
A/B Test: Reduce Mobile Live‑Stream Pre‑Roll Ad Frequency by 20% Context: You are designing an experiment on mobile live streams to evaluate reducing ...
Maintain target margin with fixed costs
Target Profit Margin With a Mixed-Product Portfolio Context You sell two burger products (classic and vegan) at the same price but with different unit...
Decide launch with asymmetric costs
Launch Decision Under Asymmetric Costs (Experiment p=0.10) Context You ran an A/B test on a churn‑reduction feature. The test's p‑value was 0.10 (sugg...
Align with PM on ranking goals
Stakeholder Alignment and De-risking a Home Page Product Ranking Initiative Context You are a data scientist asked by a PM to "rank products on the ho...