Rippling Data Scientist Interview Guide

Overview

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.

Challenge

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Rippling Data Scientist Interview Process

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
(72)
Probability
(62)

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

Rippling Data Scientist Interview Questions

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

QuestionTopicDifficulty
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.

SQL
Easy
SQL
Easy
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Rippling Data Scientist Jobs

Staff Software Engineer, Device Management
Senior Data Scientist
Senior Data Scientist - Fraud Prevention
Senior Marketing Data Scientist
Sr. Data Scientist / AI Engineer
Senior Data Scientist
Senior Data Scientist/AI Engineer
Staff Data Scientist 📍 Remote
Associate Director, Workplace/FM Data Science Manager
Data Scientist III - AMZ9971313

Discussion & Interview Experiences

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