Statistics & Math Interview Questions

Practice 496 real Statistics & Math interview questions for 2026. Statistics & Math interview questions from actual interviews with detailed solutions focused on the quantitative thinking companies expect: probability intuition, estimation, hypothesis testing, experimental design, and the algebraic reasoning behind A/B test diagnostics. This collection targets the sort of questions you’ll see in data scientist, analytics, and quantitative roles and is built for serious interview preparation. What interviewers evaluate most are clear probabilistic reasoning, correct assumptions about sampling and bias, the ability to design and interpret experiments, and concise verbal math under time pressure. Expect this category to be weighted heavily at companies like Meta, Capital One, and Google — and to appear across screens, take-home case problems, and onsite analytics/product rounds. To prepare effectively, practice fast, auditable derivations, explain assumptions out loud, and rehearse structured approaches to experimental tradeoffs and edge-case thinking.

496 Questions 85 Companies07.28.2026
Showing 20 results
Role
Medium
Software EngineerNew Grad

Solve a Set of Probability and Quantitative Reasoning Problems

Solve the following quantitative reasoning problems. Show enough work to make each result auditable, state any interpretation you need, and keep exact...

Statistics & Math
3
0
42 people solved
Jul 28, 2026
Google logo
Google
Medium
Data Scientist

Measure Bird Species Segregation

You are a data scientist analyzing bird observations from a forest. The ecology team wants to know whether different bird species are spatially segreg...

Statistics & Math
82
0
1543 people solved
May 28, 2026
Hudson River Trading logo
Hudson River Trading
Medium
Software Engineer

Choose Mean or Median for Trading Profit Metrics

A trading firm observes daily profit values X_1 through X_n and wants a metric for average performance. In an interview, you must choose between mean ...

Statistics & Math
10
1
120 people solved
Jul 2, 2026
Mistral AI logo
Mistral AI
Medium
Software Engineer

Solve Probability and Logic Puzzles Under Interview Pressure

Solve a set of interview puzzles: estimate the probability of seeing at least one car in a half hour when the one-hour probability is 0.99; compute ho...

Statistics & Math
12
0
121 people solved
Jul 2, 2026
Pinterest logo
Pinterest
Medium
Data ScientistSenior+ Locked

Implement Bootstrap and Jackknife Estimates on a DataFrame

Implement bootstrap and jackknife uncertainty estimates for a statistic computed from a pandas DataFrame. Learn correct positional resampling, confide...

Statistics & Math
7
0
72 people solved
Jun 14, 2026
Tesla logo
Tesla
Hard
Software Engineer

Compute Point-to-Plane Distance and Fit a Robust Plane

Compute Point-to-Plane Distance and Fit a Robust Plane Use NumPy-style vectorized operations to solve both parts of this 3D geometry exercise. Constra...

Statistics & Math
6
0
72 people solved
Jul 7, 2026
Jane Street logo
Jane Street
Easy
Data ScientistIntern

Solve probability and game-theory puzzles

You are interviewing for a quant trading internship. Work through the following probability and game-theory puzzles. There is no need to answer instan...

Statistics & Math
248
0
1810 people solved
Dec 1, 2025
J.P. Morgan logo
J.P. Morgan
Medium
Data ScientistSenior+

Interpret Model Metrics, Regularization, and Resampling Fundamentals

Interpret Model Metrics, Regularization, and Resampling Fundamentals A screening discussion covers an imbalanced classifier with a 3 percent base rate...

Statistics & Math
0
0
8 people solved
Jul 20, 2026
Intuit logo
Intuit
Hard
Data Scientist

Choose the right test for proportions

A/B Test on Delivery Completion Rate (Binary Outcome) Context: You are evaluating an A/B test on a binary metric (delivered_bool). Treat each order as...

Statistics & Math
41
0
348 people solved
Oct 13, 2025
Citadel logo
Citadel
Hard
Software Engineer

Compute Statistics from a Frequency Array

Compute Statistics from a Frequency Array You receive an array freq of length 256. freq[v] is the number of times integer value v occurs in an implici...

Statistics & Math
10
0
99 people solved
Mar 29, 2026
Zoox logo
Zoox
Easy
Data Scientist

Solve estimation and probability brainteasers

This is a set of independent estimation and probability brainteasers of the kind asked rapid-fire from a slide deck. Treat each one separately. For ev...

Statistics & Math
119
0
1570 people solved
Nov 13, 2025
Citadel logo
Citadel
Hard
Data Scientist

Solve probability and expectation problems

You are asked to solve the following probability and mathematical interview problems: 1. Squid Game glass bridge: There are B sequential bridge steps....

Statistics & Math
32
0
325 people solved
Jan 30, 2026
Jump Trading logo
Jump Trading
Easy
Software Engineer

Find the Largest Equivalence Class of Fractions

Given a list of integer fractions (numerator, denominator), find the largest number of fractions that represent the same rational value. Fractions may...

Statistics & Math
1
0
17 people solved
Jun 14, 2026
Pinterest logo
Pinterest
Hard
Data ScientistSenior+

Connect Probability, Experiment Sizing, and Bootstrap Inference

Connect Probability, Experiment Sizing, and Bootstrap Inference A product team wants a precise statistical readout for a billboard-style intervention....

Statistics & Math
3
0
18 people solved
Jun 2, 2026
Waymo logo
Waymo
Easy
Data Scientist

How compare Waymo turning trajectories statistically

Problem You have aerial-drone data that records the 2D turning trajectories of vehicles passing through multiple intersections. Each trajectory corres...

Statistics & Math
68
0
478 people solved
Feb 7, 2026
Google logo
Google
Easy
Data Scientist Locked

Estimate weather’s effect on mental health

This question evaluates causal inference and applied statistical modeling skills—specifically defining outcomes and treatments, addressing confounding...

Statistics & Math
42
0
352 people solved
Feb 7, 2026
Lyft logo
Lyft
Medium
Data Scientist Locked

Commuter Ride-Choice Probability: Committed and Permanent Riders

This question tests a data scientist's ability to apply probability theory to multi-event, multi-day behavioral models, covering independence, complem...

Statistics & Math
7
1
54 people solved
Jun 6, 2026
Waymo logo
Waymo
Medium
Data Scientist

Assess Routing Experiment Validity

A ride-hailing team runs an A/B test in San Francisco in July 2024 for a new routing algorithm intended to reduce time to pickup, abbreviated TTP. You...

Statistics & Math
29
0
230 people solved
Mar 7, 2026
Google logo
Google
Hard
Data Scientist Locked

Explain Bootstrap and Statistical Inference

This question evaluates a data scientist's competence with resampling methods (bootstrap), uncertainty quantification and hypothesis testing (variance...

Statistics & Math
42
0
297 people solved
Dec 29, 2025
Citadel logo
Citadel
Hard
Data Scientist Locked

Solve probability and stopping questions

This set of problems evaluates probabilistic reasoning and mathematical statistics skills, covering convolution for sums of independent variables, exp...

Statistics & Math
17
0
339 people solved
Mar 14, 2026

Frequently Asked Questions

How difficult are Statistics & Math interview questions?
Difficulty varies by role and seniority, from straightforward probability and descriptive stats at entry level to rigorous experiment design, inference edge cases, and modelling tradeoffs at senior levels. Interviewers evaluate statistical thinking more than raw algebra: clear assumptions, correct use of distributions, interpretation of effect sizes, and risk of bias matter most. For data roles at tech companies, a strong candidate demonstrates both calculation fluency and applied judgment, turning numeric answers into product or business implications. Expect interviewers to probe edge cases, sample assumptions, and the consequences of violated model conditions.
Where do Statistics & Math questions appear in a typical interview loop and which companies weight them heavily?
Statistics and math usually appear in technical phone screens and in one or two onsite analytics or modeling rounds. Early screens or take-home assessments test core probability, hypothesis testing, and quick inference; onsite rounds dig into experiment design, causal reasoning, and metric construction. Companies with heavy emphasis include Meta, Capital One, and Google, with Amazon and Uber also commonly testing statistical judgment depending on the team. These rounds are often 45 to 60 minutes, and they are commonly paired with SQL or product-analytics questions so candidates must connect math to real metrics and decisions.
How long should I prepare for Statistics & Math interviews?
Preparation time depends on background and urgency. Candidates with recent statistics experience typically need two to six weeks of focused review to sharpen experimental design and applied inference. People refreshing basics can prepare in one to two weeks of intensive practice. Those switching from nonstatistical roles should budget six to twelve weeks to rebuild foundations, practice problems, and translate results into product insights. Effective prep mixes problem practice, targeted review of weak subtopics, and mock interviews that force you to explain assumptions, practical significance, and limitations under time pressure.
What key subtopics in Statistics & Math should I study for these interviews?
Prioritize probability and distributions, central limit theorem, hypothesis testing and confidence intervals, statistical power and sample size, and multiple-testing corrections. Study regression and generalized linear models, bias versus variance, basic causal inference and A/B testing design, uplift and metric sensitivity, and nonparametric approaches such as bootstrapping. Also review likelihood intuition, Bayesian versus frequentist framing, handling missing data and confounders, and practical diagnostics like residual analysis and robustness checks. Employers look for both the math and the ability to translate results into product or business recommendations.
What standout tips and common pitfalls should candidates know for Statistics & Math interviews?
Always state assumptions before computing, and report practical effect sizes alongside p values. Sanity check answers with orders of magnitude and units, and discuss power and sample size when relevant. Avoid common traps: confusing correlation with causation, ignoring multiple comparisons, and relying solely on p values without context. Practice explaining results to nontechnical interviewers, and tie statistical choices to product impact. Finally, show tradeoff thinking: when a simple estimator is preferable to a complex model, and how you would monitor and validate your metric in production to catch bias or drift.

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