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 an experiment with marketplace network effects
Causal Experiment Design for a Two‑Sided Marketplace with Interference You are designing a causal experiment for a new networked product in a two‑side...
Validate DID and IV assumptions rigorously
Causal Inference and IV: DID, TWFE, Staggered Adoption, Clustering, and 2SLS Context: You are analyzing the causal effect of a reminder on an outcome ...
Diagnose and reduce cold-food refund costs
This question evaluates data science competencies in analytics, experimentation, and causal inference, including cost modeling, diagnostic analysis, p...
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...
Prioritize conflicting tasks under shifting deadlines
Behavioral: Prioritizing Three Critical Requests Under a One‑Day Constraint Scenario You have 8 hours today and no backup. Three concurrent deliverabl...
Design real-time live-stream recommendations
Design a Real-Time Recommendation System for Live Streams Context: You are designing a recommender for a large live-streaming platform. Assume you hav...
Explain NVIDIA fit and role value
Behavioral Prompt: Why NVIDIA and Why This Data Scientist Role? You are interviewing for a Data Scientist position. In a concise, 1–2 minute answer, a...
Use data to resolve an ambiguous problem
Behavioral + Technical: End‑to‑End Data Story (Ambiguous Problem) You are interviewing for a Data Scientist role. Describe an end‑to‑end instance wher...
Design and analyze ad A/B test
A/B Test Analysis Plan: New Ad-Ranking Algorithm (B) vs. Production (A) Context: You are evaluating a new ad-ranking algorithm (B) against the current...
Explain SHAP vs VIF under collinearity
High Collinearity in Binary Classification: VIF, SHAP, and Interpretation Strategy You are modeling a binary outcome Y. Two numeric features A and B a...
Build a late-delivery risk model
Predict Late Delivery Risk at Order Creation Context You are given an anonymized dataset of marketplace orders with timestamps, store/customer/market ...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
Design and analyze email deliverability experiment
This question evaluates a data scientist's competency in experimental design, causal inference, sequential testing (frequentist and Bayesian), instrum...
Measure Super Bowl ad impact with causal design
Super Bowl National TV Ad: Incrementality Measurement Plan Context: Your consumer app ran a single 30-second national Super Bowl TV spot. Design a pla...
Diagnose a 10% DAU drop
On-Call Incident: Yahoo Mail DAU Down 10% on 2025-09-01 Assume all times are UTC, the product is global, and DAU is the canonical daily active user me...
Handle conflict, priorities, and harsh clients
Behavioral Case: Disagreement on Model Selection Under Deadline Context: You are a Data Scientist working with engineering, product, and an external c...
Design causal measurement without randomization
Causal Study Design: Notification Feature Impact on 7-Day Retention Context: A new notification feature shipped on 2025-06-01. Randomized rollout was ...
Debug Tensor Conversion Bugs
You are given a small tensor utility library used in distributed numerical code. The implementation has several bugs related to aliasing, array conver...
How Should Stripe Capital Be Evaluated?
This question evaluates a data scientist's competency in credit and product analytics, including dashboard design, predictive modeling for merchant qu...
Design and Evaluate a Home Carousel
Pinterest is considering adding a horizontally scrollable carousel at the top of the Home feed, similar to Instagram Stories. The carousel may surface...