Rippling Data Scientist Interview Guide

Written by IQ Team

Reviewed by Jay Feng

Published March 27, 2026

Estimated reading time: 5 minutes

Getting ready for an Data Scientist interview at Rippling? The Rippling Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

Know what skills are necessary for Rippling Data Scientist roles.
Gain insights into the Data Scientist interview process at Rippling.
Practice real Rippling Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Rippling Data Scientist interview.

Check your skills...
How prepared are you for working as a Data Scientist at Rippling?

Typically, interviews at Rippling vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

Click or hover over a slice to explore questions for that topic.

Data Structures & Algorithms

(176)

SQL

(157)

Machine Learning

(120)

Product Sense & Metrics

(73)

Probability

(62)

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the Rippling Data Scientist interview with these recently asked interview questions.

Question	Topic	Difficulty
Rectangle Overlap	Data Structures & Algorithms	Easy
You are given two rectangles `a` and `b` each defined by four ordered pairs denoting their corners on the `x`, `y` plane. Write a function `rectangle_overlap` to determine whether or not they overlap. Return `True` if so, and `False` otherwise. Note: If the two rectangles border one another, or share a corner like two diagonally adjacent positions on a chessboard, they are said to overlap. Note: The lists of ordered pairs are in no particular order. The first entry in list `a` could be the top left corner while the first in list `b` is the bottom right. Example: Input: `a = [(-3,5), (-3,2),(0,5),(0,2)] b = [(-1,4), (3,4), (3,1), (-1,1)]` Output: `def rectangle_overlap(a, b) -> True` As point `(0,2)` is fully contained in rectangle `b` and point `(-1,4)` is fully contained in a rectangle `a`. View Question Show Solution
Three Indexes Adding Zero	Data Structures & Algorithms	Medium
Shortest Path Algorithms	Data Structures & Algorithms	Medium

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Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard