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."
Unify 7 tables and impute missing values
Using pandas, write a robust function unify_orders(...) that ingests seven dataframes (or CSVs) with possibly inconsistent column casing/whitespace an...
Build dashboard; diagnose engagement–purchase gap
Build a Comprehensive Dashboard for the Shopping Tab (Organic Only) Context Assume the Shopping tab is an in-app surface for organic product discovery...
Estimate revenue of organic shopping tab
Estimate Monthly Revenue for a New Shopping Tab (Organic Only) Context You are evaluating the potential monthly revenue impact of launching a new Shop...
Design experiment with network and novelty effects
This question evaluates a data scientist's competence in experimental design and causal inference under network interference and novelty effects, cove...
Prove source growth is cannibalization, not incremental
Causal Analysis Design: Is Web Growth Incremental or Cannibalization? Background You observe that revenue attributed to creation_source = "web" is hig...
Calculate annual percentages and YoY by cohorts
Answer both SQL and Python parts. Be precise about deduping and denominator choices. SQL schema (sample rows): orders order_id | user_id | order_date ...
Build and deploy an uplift targeting model
This question evaluates a candidate's ability to design and deploy uplift/causal targeting models, covering causal inference, uplift estimation, pre-t...
Estimate price–ETA trade-offs causally
Causal Effect Between Price and Expected Arrival Time (ETA) in a Real-Time Ride-Hailing Marketplace Objective Estimate the causal relationship between...
Investigate ride declines and test free trials
LA Shared Rides Down 10% MoM — Diagnostic And Action Plan Context: The Los Angeles market is seeing a 10% month-over-month decline in completed rides ...
Design and power an incentive experiment
Experiment: Timing and Efficacy of Onboarding Benefits Context You operate a two-sided marketplace with supply-side candidates who often complete requ...
Design analysis to reduce cold-delivery complaints
This question evaluates a data scientist's end-to-end analytics and experimentation competencies, including precise metric definition, causal diagnost...
Choose group-call size cap via experiment
Decide the Maximum Participants per Group Call: Experiment Plan Context: You need to choose a default cap for group calls (maximum concurrent particip...
Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Decide if subgroup increases imply overall increase
TikTok Time: Subgroup Increases vs Overall Average (Simpson's Paradox) You are analyzing average daily time spent on TikTok by gender (male, female) a...
Choose cashback segment and model post-launch impact
Credit-Card Cashback Launch: Segment Prioritization and Measurement Plan Context You are evaluating which customer segment to launch a new cashback fe...
Demonstrate problem-solving under resistance
Behavioral: End-to-End Problem Solving with Resistance (STAR) You are interviewing for a Data Scientist role. Provide a STAR-formatted response descri...
Measure PMF for Alexa Shopping
Define and Measure Product–Market Fit (PMF) for Alexa Shopping Context You are designing a measurement plan to assess PMF for Alexa Shopping, where cu...
Prove new allocation outperforms manual baseline
Prove an Automated Package-Allocation System Outperforms Manual Baseline Context You work in a large last‑mile logistics network evaluating a new auto...
Build a package-allocation model for couriers
Automatic Package-to-Courier Assignment with ML + Optimization You previously assigned packages to couriers manually. Design an end-to-end system that...
Decide and test a 20% discount strategy
This question evaluates a data scientist's competency in incremental profit modeling, causal inference and experimentation design, heterogeneous treat...