How do I approach Statistics & Math interview questions?

Statistics & Math questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master statistics & math interviews.

What difficulty level is this interview question?

This is a medium difficulty Statistics & Math question, commonly asked during Onsite rounds at Walmart Labs.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Walmart Labs during technical interviews.

Understand Propensity Score Matching in Business Analytics | Walmart Labs Interview Question

Understand Propensity Score Matching in Business Analytics

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of propensity score matching as a causal inference technique and related competencies in estimating treatment effects from observational product data, assessing required assumptions for unbiased estimates, and measuring covariate balance; the domain tested is Statistics & Math for a Data Scientist role.

Walmart Labs

Aug 4, 2025, 10:55 AM

Data Scientist

Onsite

Statistics & Math

Propensity Score Matching (PSM) in Observational Product Data

Context

You work on a growth analytics team estimating causal effects (e.g., of a feature rollout or marketing campaign) using observational product data where randomized experiments are not available.

Questions

What is Propensity Score Matching (PSM) and in which business situations would you apply it?
List the assumptions required for PSM to yield unbiased causal estimates.
How do you assess whether the matching achieved good covariate balance?

Solution

Show

Comments (0)

Loading comments...

Browse More Questions

More Statistics & Math•More Walmart Labs•More Data Scientist•Walmart Labs Data Scientist•Walmart Labs Statistics & Math•Data Scientist Statistics & Math