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."
Demonstrate leadership in data ambiguity
Describe a time you inherited an underperforming metric or model, disagreed with the team’s preferred fix, yet had to recommend a decision under a tig...
Decide whether to launch Group Story
A new Group Story feature may cannibalize regular stories but increase overall engagement. Propose the experiment and decision framework: 1) Identify ...
Design and analyze a banner A/B test
A/B Test Design: Home-Page Banner You are deciding whether to add a home-page banner in a consumer app. Design and analyze the A/B test end-to-end. As...
Decide when CTR falls but revenue rises
Ads-Ranking A/B Test: Decision, Decomposition, Diagnostics, and Exec Readout Context You ran a user-level A/B test of a new ads-ranking model. The tre...
Compute p-values, power, and adjust errors
Statistics Interview Task (Onsite) You are evaluating a product experiment and related analytics questions. Answer precisely, showing calculations and...
Diagnose and experiment to reduce late deliveries
Two-Sided Delivery Platform: Rising Late Deliveries You are the first analyst on a two‑sided delivery platform that handles both food and parcel order...
Design MapReduce and Spark jobs
Big data systems: (a) Explain Hadoop’s fault tolerance (HDFS replication, task re-execution) and why MapReduce includes shuffling and sorting; in a wo...
Implement KNN from scratch
Without using ML libraries, implement k-Nearest Neighbors for classification. Requirements: (a) Support Euclidean and cosine distances; (b) Allow tie-...
Explain handling pressure to bend rules
Describe a time you were explicitly asked to bend or break a rule for convenience (e.g., process, compliance, or data governance). How did you assess ...
Design an A/B test for pinned-unread feature
Experiment Design: Evaluating a Pinned-Unread Chat Feature Context You are evaluating a new messaging feature that pins chats with unread messages to ...
Evaluate merchant partnership for high-value customers
Partnership evaluation to acquire high‑LTV cardholders: Home‑sharing (RH) vs Big‑box retailer Context C1, a credit‑card issuer, is considering marketi...
Write SQL for lowest price with ratings
You have two tables. Schema: - products(product_id INT PRIMARY KEY, product_name TEXT, category TEXT) - purchase(purchase_id INT PRIMARY KEY, product_...
Analyze ad watch-time with Excel pivots
You are given a flat file with these columns: Date (Excel date, no time zone), UserID, AdID, WatchSeconds (integer ≥ 0), Clicks (integer ≥ 0). Using o...
Run org-safe online experiment for recommender
Propose an online experimentation plan to evaluate the file recommender in production across multiple organizations where collaborators can influence ...
Choose and justify ML algorithms for tabular prediction
You must choose an algorithm for tabular prediction of arrival delay under these constraints: 500k rows, 120 features (mixed numeric/categorical with ...
Write SQL for noisy A/B launch metrics
PostgreSQL. Today is 2025-09-01. You’re given the following schema and toy samples: users(user_id INT, country TEXT, signup_date DATE, marketing_chann...
Explain grocery-specific product strategy and scrappy XP
Launching Grocery Delivery in NYC: Product and Experimentation Plan Context A delivery platform that is strong in restaurant delivery is launching a g...
Define ride success metric for Uber
This question evaluates skills in defining product-level KPIs, statistical validation, and experimental design for an on-demand mobility service, cove...
Design a hashtag recommender for News Feed
Design: Hashtag Recommendations in the News Feed Context You are adding hashtag recommendations alongside posts in a large social app’s News Feed. The...
Handle challenges in MMM/MMX
MMM Fragility Diagnosis and Remediation Plan (Weekly, 156 Weeks) Context You inherit a weekly Marketing Mix Model (MMM/MMX) with 156 weeks of data. Th...