Waymo Data Scientist Interview Questions
Practice the exact questions companies are asking right now.
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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...
Analyze User Ride Activity with SQL
Use the following tables to answer four SQL analysis tasks. `text rides(ride_id, ride_date, ride_rating, user_id) users(user_id, city) ` Constraints &...
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...
Test Whether a Routing Experiment Reduced Pickup Time
An A/B test in San Francisco during July 2024 evaluates a new routing algorithm intended to reduce time to pickup. You have: `text df_users(user_id, v...
How predict vehicles’ turn direction at intersection?
This question evaluates a data scientist's competency in time-series intent prediction at intersections, including label definition under ambiguity, t...
Implement a Safe Average Function in Python
Write a Python function average(table) that returns the arithmetic mean of a list of numbers and returns 0 when the list is empty. Explain the functio...
How validate a driving simulation is realistic?
This question evaluates skills in statistical validation of simulations, distributional comparison between real and simulated driving data, scenario-s...
Compare two rare-event detection models statistically
You are evaluating two models (Model A and Model B) for rare-event detection (e.g., fraud, abuse, medical adverse event). Positives are extremely rare...
Interpret a Smart Wait Launch with Conflicting Metrics
A product changes its wait-time display to show more conservative estimates. After launch, conversion falls by 5% while actual time to pickup falls by...
Model wins-until-failure and expected future wins
This question evaluates probabilistic modeling and statistical inference skills for censored time-to-event performance data, focusing on estimating pl...
Evaluate Smart Wait Launch Impact
A ride-hailing or autonomous-vehicle product launches a feature called Smart Wait. Before a user confirms a ride, Smart Wait shows a more conservative...
Use Bayes to interpret a broken radar alarm
This question evaluates Bayesian probabilistic reasoning, understanding of base rates, sensitivity/specificity, decision-theoretic trade-offs between ...
Compute probability match lasts 5 games
Two players play independent games of table tennis. - Player A wins each game with probability \(p\) (constant across games). - They play a best-of-5 ...
Implement K-means and handle train-inference mismatch
Part A — K-means (implementation + concepts) You are given a dataset \(X \in \mathbb{R}^{n \times d}\) and an integer \(k\). 1. Explain K-means: what ...
Estimate total attendance from size-biased reservation sample
You run a restaurant with N = 10,000 reservations in a day. Each reservation j has: - Reserved party size: \(R_j\) (positive integer) - Actual number ...
Merge overlapping intervals per group in pandas
This question evaluates proficiency in time-series data manipulation and interval reasoning using pandas, including grouping, datetime handling, and i...
Implement Safe Average Function
Write a Python function average(values) that returns the arithmetic mean of a list of numbers. Requirements: - If values is empty, return 0. - The inp...
Compute Ride Metrics in SQL
You are given two tables for a ride-hailing product. Tables: - users: one row per registered user. - user_id BIGINT PRIMARY KEY - city VARCHAR NOT...
Determine earliest collision among moving cars
You are given n cars moving over time. Each car has known initial state at time \(t=0\): - 1D case (straight road): - initial position \(x_i\) (mete...
Implement nested template string substitution
This question evaluates understanding of string processing, dependency resolution, recursive expansion, cycle detection, and efficiency techniques suc...