---
title: "CareerFair - Day-to-day as an Applied Scientist at Amazon"
url: https://daily.dev/posts/careerfair---day-to-day-as-an-applied-scientist-at-amazon-qmce1sa39
source_url: https://eugeneyan.com/speaking/data-scientist-day-to-day
type: article
source: "Eugene Yan"
published: 2026-05-31T07:40:09.385Z
updated: 2026-05-31T08:21:23.155Z
tags: ["machine-learning", "data-science", "amazon", "recommendation-systems"]
reading_time: 7
upvotes: 0
comments: 0
language: en
---

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# CareerFair - Day-to-day as an Applied Scientist at Amazon

**[Eugene Yan](https://daily.dev/sources/eugeneyan)** · 7 min read · 0 upvotes · 0 comments

## Summary

Eugene Yan, an Applied Scientist at Amazon, shares what his day-to-day looks like in a CareerFair interview. He describes typical activities including working with data, applying machine learning for book recommendations and search, and navigating meetings and documentation. He highlights the leverage of building ML systems at scale for millions of customers as a major perk, while noting challenges like overly complex stakeholder requests and data access delays. He also reflects on how his Psychology background shaped his analytical and communication skills, and emphasizes that communication is the most critical skill for data scientists.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://eugeneyan.com/speaking/data-scientist-day-to-day>

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#amazon](https://daily.dev/tags/amazon), [#recommendation-systems](https://daily.dev/tags/recommendation-systems)

[View this post on daily.dev](https://daily.dev/posts/careerfair---day-to-day-as-an-applied-scientist-at-amazon-qmce1sa39)