J.P. Morgan Data Scientist 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."
Explain Core ML Concepts
You are interviewing for a senior AI/ML-oriented data science role at a financial institution. Answer the following foundational machine learning ques...
Implement Integer Square Root
Given a non-negative integer x, implement sqrt(x) and return the integer part of its square root, i.e., floor(sqrt(x)). Requirements: - Do not use a b...
Explain Overfitting and Transformer Basics
Answer the following machine learning questions in a self-contained way: 1. What is overfitting? How would you recognize it from training and validati...
Explain C++ virtual dispatch and object lifetime
Answer the following C++ fundamentals questions. 1) Virtual function dispatch: predict output Consider this C++ program: `cpp #include <iostream> usin...
Solve tiling, probability, and nested-radical puzzles
You are given several independent math/coding puzzles. 1) Domino tiling a 2×N board You have a 2×N rectangle and an unlimited number of 1×2 and 2×1 do...
Test whether samples follow a binomial distribution
You collect a dataset that you believe comes from a binomial process. Each observation is a count of successes. - You have i.i.d. samples \(x_1,\dots,...
Compute expected value of simple gambling games
You are asked two probability/EV questions. 1) Dice game expected value / fair entry fee A game works as follows: - You pay an entry fee of \(c\) doll...
Implement KNN from Scratch
Implement a k-nearest neighbors (KNN) classifier from scratch in Python without using scikit-learn's KNN implementation. Given training features X_tra...