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."
Diagnose rising delivery cost precisely
Problem: Delivery Cost per Order Increased — Design an Analysis Plan Context A restaurant reports a significant increase in delivery cost per order in...
Explain life story, project leadership, and negotiation
Behavioral & Leadership — HR Screen (Data Scientist) In a single, structured answer, address all items below with specific dates, names, and quantifie...
Explain power drivers and resolve unexpected A/B results
A/B Testing: Power, Sample Size, Allocation, and Diagnostics You are analyzing a two-proportion (binary conversion) A/B test with independent users, n...
Compute wallet-link probabilities, expectation, and conditionals
Question Coinbase users each independently link a wallet with probability p. Work through the full probability model for this process. 1. General form...
Forecast response-rate trends with backtesting
This question evaluates proficiency in time-series forecasting and model validation, including feature engineering, model selection, rolling-origin ba...
Achieve 0.95 precision via thresholding
Deploying a High-Precision Classifier on an Imbalanced Dataset You are given a binary classification problem with 50,000 samples and ~5% positives. Th...
Derive variance and CTR confidence intervals
This question evaluates understanding of estimation and inference for proportions, including CTR point estimation, standard errors, multiple confidenc...
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...
Compare CNN/RNN/LSTM and implement K-means
Deep Learning Concepts and K-means Implementation (Onsite ML Interview) This is a two-part onsite round for a Data Scientist role: a conceptual deep-l...
Compute power and interpret guardrails
This question evaluates competency in experimental design and applied statistics for cluster-randomized A/B tests, covering cluster-robust inference, ...
Design and power a frequency-cap experiment
Experiment Design: Raising a 7‑Day Frequency Cap from 3→4 Impressions Context A large video ad campaign plans to raise the per‑user rolling 7‑day freq...
Demonstrate handling dismissive stakeholders with candor
Behavioral Prompt: Managing Adversarial Dynamics While Driving Outcomes Context You are interviewing onsite for a Data Scientist role. A senior interv...
Design KV store with sliding-window average QPS
Problem Design an in-memory key–value store that supports mutation operations and can report the average QPS (queries per second) over a recent time w...
Compute minimal operations and optimal server pairing
You are given two independent coding problems. Problem 1: Minimum range-increments to make an array nondecreasing Given an integer array power of leng...
Find the Smallest String After One Decrement
You are given a string s consisting only of lowercase English letters. You must perform exactly one operation: 1. Choose one non-empty contiguous subs...
How to diagnose traffic and measure relevance?
This question evaluates a data scientist's skills in traffic diagnostics, instrumentation validation, user-path and navigation analysis, causal reason...
Design an ads ranking system with calibration
This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies i...
Implement log aggregation in React
React Coding: Log stream aggregation You are building a small React feature that displays real-time statistics from a log stream. Log event format Eac...
Explain Your Project and Manager Feedback
You are interviewing for a Machine Learning Engineer role on a news product. Answer the following behavioral questions clearly and concisely: 1. Walk ...
How to Target Coupon Users
A ride-sharing company such as Lyft wants to launch a coupon campaign to increase commuter rides, but the coupon budget is limited. How would you anal...