Upstart Interview Questions
Practice 59 real Upstart interview questions for 2026 — Upstart interview questions drawn from actual interviews with detailed solutions for focused interview preparation. This collection leans heavy on coding and algorithm problems while also covering Statistics & Math, Machine Learning, Analytics & Experimentation, and Behavioral & Leadership so you can practice the exact question mix candidates see. Software Engineer and Data Scientist roles are both represented, with Software Engineer listed first for readers prioritizing coding prep. For Data Scientists expect a strong emphasis on probability and estimation puzzles (one‑child household probability, classic probability mini‑problems), causal inference and experiment-design questions (measuring impact, estimating effects without randomized tests), algorithmic simulations and implementations (decay simulations, trailing‑zero counts, random‑walk correlations), and applied modeling topics like regularization and OLS. For Software Engineers expect OA-style coding, string and decoding puzzles, small algorithmic challenges, and capacity/revenue modeling. Best prep is practice-driven: time yourself on medium-to-hard coding problems, rehearse statistics and causal reasoning with pen-and-paper derivations, implement simulations end-to-end, and prepare concise behavioral STAR stories tied to product and impact.

"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 a Real-Time Personalized Ad Selection System
Design a Real-Time Personalized Ad Selection System End-to-End ML System Design: Real-Time Ad Selection Context You need to design a real-time, data-d...
Calculate Expected Streaks in Coin Toss Sequence
Calculate Expected Streaks in Coin Toss Sequence Expected Number of Streaks in Coin Tosses Scenario You toss a coin repeatedly. A "streak" (a run) beg...
Estimate and Derive Regression Coefficient for X on y
Estimate and Derive Regression Coefficient for X on y Statistics & Probability Onsite — Two-Part Question Context - You have a simple linear data-gene...
Manipulate data in R with dplyr joins and windows
Using R and dplyr, answer the following using these small tables (dates are ISO strings): transactions(user_id, order_id, order_date, channel, amount)...
Solve SQL CTR and Python analytics tasks
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Determine distribution of aX+b when X~N(0,1)
Linear Transform of a Standard Normal Setup - Let X ~ N(0, 1) (standard normal). - For constants a, b ∈ ℝ, define Y = aX + b. Tasks (a) What is the ex...
Estimate one-child household probability
You survey 100 children at a school and ask how many children are in their family. The responses are: - 50 children say their family has 1 child. - 20...
Implement factorial and count trailing zeros
Answer the following coding questions in Python. 1) Implement factorial Implement a function factorial(n) that returns \(n!\) for a non-negative integ...
Explain Treatment Results and Recommend Launch Criteria for Experiments
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Design Push-Notification System for Airport Surge Pricing
Design Push-Notification System for Airport Surge Pricing Designing Airport Surge Push Notifications for Drivers Context You are building a real-time ...
Address Missing Income Bracket in California Housing Data
Address Missing Income Bracket in California Housing Data ML Case: Missing Lowest-Income Bracket in California Housing Data Context You're building a ...
Design a Regression Model for Robust Extrapolation Performance
Design a Regression Model for Robust Extrapolation Performance Scenario Onsite machine-learning exercise: your task is to build a regression model usi...
Calculate Average Event Value by User ID
events +----+---------+------------+-------+---------------------+ | id | user_id | event_type | value | timestamp | +----+---------+-------...
Calculate User Revenue and Session Duration in Python
events +---------+------------+---------+---------------------+ | user_id | event_type | revenue | timestamp | +---------+------------+-----...
Implement decay simulation and trailing-zero counting
Implement the following in Python: 1) Radioactive decay simulation: Half-life is 1 day. Write a simulation function that takes: - input: integer m ...
How would you measure causal impact?
Answer the following two analytics interview prompts. Constraints & Assumptions - For causal impact, separate prediction from causal identification. -...
Identify binomial model and compute moments
Tossing N Balls Into a Cup (Independent Hits with Probability p) You toss N independent balls toward a cup. Each ball lands in the cup with probabilit...
Find Minimum Path Sum in Integer Triangle
Scenario Tech interview round 1 – dynamic programming challenge Question Given a triangle of integers, find the minimum path sum from top to bottom. A...
Design Algorithm for Longest Substring with K Distinct Characters
Scenario Tech interview round 2 – sliding-window algorithm Question Design an algorithm that finds the length of the longest substring containing at m...