Data Scientist Interview Questions

Showing 331–344 of 344 results

• WaymoMedium·Data Scientist
  Assess Routing Experiment Validity

  This question evaluates experimental analysis and statistical hypothesis testing skills, including data preparation and joining, interpretation of p-values, and understanding of causal inference and threats to validity in A/B tests.

  Statistics & MathOnline Assessment
• WaymoMedium·Data Scientist
  Compare Two Rare-Event Rates with Different Exposure

  Compare sparse event rates across unequal mileage using a two-sample Poisson framework, exact conditional testing, and honest uncertainty.

  Statistics & MathTechnical Screen
• WaymoEasy·Data Scientist
  Compute probability match lasts 5 games

  This question evaluates understanding of discrete probability, sequential best-of-n match modeling, Monte Carlo simulation for probability estimation, and interval estimation for proportions.

  Statistics & MathTechnical Screen
• WaymoMedium·Data Scientist
  Estimate Event Rates from Unequal-Probability Samples

  Establish event rates from unequal sampling with inverse-probability weighting, exposure-aware denominators, and efficient stratified allocation.

  Statistics & MathTechnical Screen
• WaymoEasy·Data Scientist
  Estimate total attendance from size-biased reservation sample

  This question evaluates understanding of size-biased sampling, selection bias correction, finite-population total estimation, and uncertainty quantification in survey sampling.

  Statistics & MathTechnical Screen
• WaymoMedium·Data Scientist
  Model Rare Events with a Log Link and Handle Zero Counts

  Explain rare-event log-link models, exposure offsets, zero counts, overdispersion, and the difference between counts and binary outcomes.

  Statistics & MathTechnical Screen
• WaymoEasy·Data Scientist
  Model wins-until-failure and expected future wins

  This question tests your ability to model geometric distributions and apply maximum likelihood estimation (MLE) to censored data.

  Statistics & MathOnsiteStatisticsMLEProbability
• WeRideMedium·Data Scientist
  Test whether two distributions differ

  Test whether two datasets come from the same distribution using univariate and multivariate methods, including KS, categorical tests, classifier two-sample tests, MMD, permutation tests, effect sizes, multiple-testing control, clustering-aware uncertainty, and sampling designs.

  Statistics & MathTechnical Screen
• WorldquantMedium·Data Scientist
  Find the Expected Number of Record Maxima

  A permutation of the distinct values `1` through `100` is revealed from left to right. Explain the assumptions and derivation clearly, check edge cases, and show how the result changes when those assumptions no longer hold.

  Statistics & MathTechnical Screen
• WorldquantMedium·Data Scientist
  Price a Sequential Four-Box Search Game

  Four boxes contain one \$100 prize. Explain the assumptions and derivation clearly, check edge cases, and show how the result changes when those assumptions no longer hold.

  Statistics & MathTechnical Screen
• YahooEasy·Data Scientist
  Calculate Expected Flips for Heads-Tails Sequence

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Calculate Expected Flips for Heads-Tails Sequence states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Statistics & MathTechnical Screen
• YahooMedium·Data Scientist
  Prove Equal Probability Impossible with Relabeled Dice Faces

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Prove Equal Probability Impossible with Relabeled Dice Faces states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Statistics & MathTechnical Screen
• ZooxMedium·Data Scientist
  Compute posterior for biased coin after 3H1T

  This question evaluates a candidate's understanding of Bayesian inference, computation of posteriors and Bayes factors, posterior predictive probabilities, and decision-theoretic model selection in a simple biased-coin scenario.

  Statistics & MathTechnical Screen
• ZooxEasy·Data Scientist
  Solve estimation and probability brainteasers

  This question evaluates quantitative estimation, unit conversion, geometric scaling, and basic probability skills across multiple short brainteaser prompts.

  Statistics & MathOnsite