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."
Describe navigating ambiguous, repetitive questioning
Behavioral: Handling Repeated, "Fishing" Questions Context: You're a Data Scientist in a technical screen or stakeholder review. The other person keep...
Explain career moves and defend moat
Interview Prompt: Career Chronology, Competitive Advantage, and Exec Presentation Trade‑offs Context: You are interviewing for a Data Scientist role i...
Evaluate channels and allocate budget
Marketing Analytics Case: Funnel, Attribution, Budget Optimization, and Incrementality You are given a daily-by-channel dataset with the following col...
Decide to ship a signup experiment
A/B Test Plan: Redesigned User Signup Flow Context and Data You are analyzing an A/B experiment for a redesigned user signup flow. The dataset include...
Design incrementality test for TikTok ads
Design an Incrementality Test to Prove TikTok Ads Drive Lift in Conversions You are an advertiser who wants to causally prove that TikTok ads increase...
Act when A/B result is not significant
A/B Test Planning and Decision-Making for a 60s Video Change Context: You are evaluating a product change with completion rate as the primary metric. ...
Write SQL and Python for transaction analytics
You are given user and transaction data. Part A (SQL): Use a join and window functions to answer the prompts below using the following schema and samp...
Estimate live sports impact on subscriptions
Estimate the Causal Impact of Live Sports on Prime Subscriptions and Engagement Context Amazon is considering adding live broadcasts of selected sport...
Interpret and validate regression with interactions
Modeling 7-day Retention with LPM and Logistic Regression Context You have user-level data with a binary outcome retained_7d (1 if the user is active ...
Choose tests and solve distribution parameters
Engagement Comparison: New vs Existing Users (2025-08-05 → 2025-09-01) Context: You have per-user daily session counts (integer, skewed, many zeros) f...
Define and analyze new-vs-existing activity
Ambiguous product question: Are existing users more active than new users over the last 28 days (ending today = 2025-09-01)? 1) Propose two reasonable...
Redesign an executive dashboard for C-suite
Redesign a Spaghetti Chart into an Executive Dashboard Context You are handed a single slide for the C‑suite that shows a spaghetti chart of regional ...
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...
Implement PAVA spend-smoothing under no-borrowing constraint
Monotone Spending Plan via Isotonic L2 Regression (No-Borrowing) Context: You observe yearly discretionary income profit[1..65] (nonnegative reals) an...
Design a News Feed with APIs
Personalized News Feed System Design (Push + Pull) Context You are designing a large-scale personalized news feed for a consumer application. The feed...
Demonstrate influential product leadership under ambiguity
Behavioral & Leadership: Influencing Without Authority Under Tight Deadlines Scenario You are a Senior Data Analyst supporting a streaming product. Fo...
Compute churn and revenue churn in SQL
You receive monthly end-of-month subscription snapshots and must compute August-2025 churn metrics. Schema and sample data: Table: subscription_monthl...
Design a hierarchical MF delinquency forecasting system
Forecasting 90+ Day Delinquency Rates for Multifamily Loans: Hierarchical, Leakage-Safe System Design Context You need to forecast 90+ day delinquency...
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...
Design profitability growth plan
This question evaluates a data scientist's skills in business analytics, experimentation design, and strategic framework development for profitability...