---
title: "The Quant Crossroads: UX Research or Data Science"
url: https://daily.dev/posts/the-quant-crossroads-ux-research-or-data-science-ctexpdso3
source_url: https://medium.com/expedia-group-tech/the-quant-crossroads-ux-research-or-data-science-e07807b19d26
type: article
source: "Expedia Group Tech"
published: 2026-01-27T13:19:40.462Z
updated: 2026-01-27T13:20:07.809Z
tags: ["machine-learning", "python", "data-science", "sql", "ux"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# The Quant Crossroads: UX Research or Data Science

**[Expedia Group Tech](https://daily.dev/sources/expedia)** · 8 min read · 0 upvotes · 0 comments

## Summary

Quantitative UX Research and Data Science are both growing disciplines that work with large datasets but serve different purposes. QUX Researchers focus on understanding *why* users behave in certain ways through survey design, research methodology, and statistical analysis, while Data Scientists focus on *what* users are doing through behavioral data analysis, experimentation, and machine learning. Both roles require statistical knowledge and programming skills, but differ in depth and specialization. QUXRs typically use R and collaborate with design teams, while Data Scientists use Python/SQL and partner with product/marketing teams. The disciplines complement each other effectively when combined to provide a complete picture of user behavior and experience.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/expedia-group-tech/the-quant-crossroads-ux-research-or-data-science-e07807b19d26>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#data-science](https://daily.dev/tags/data-science), [#sql](https://daily.dev/tags/sql), [#ux](https://daily.dev/tags/ux)

[View this post on daily.dev](https://daily.dev/posts/the-quant-crossroads-ux-research-or-data-science-ctexpdso3)