> Markdown version of [/jobs/ext/4478297-data-scientist-ii-poe](https://www.wearedevelopers.com/jobs/ext/4478297-data-scientist-ii-poe). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist II, POE

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000 - $184,000
- **Contract:** Permanent contract
- **Skills:** Data Mining, Query Languages, R (Programming Language), Python (Programming Language), MATLAB, Mathematical Software, SAS (Software), SQL Databases, Scripting, Data Analytics
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=68d7275dcbfa8a1a

## About the Role

* Currently has, or is in the process of obtaining, a Master's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
 * 3+ years of data scientist experience
 * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience, * Experience in a ML or data scientist role with a large technology company
 * Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 * Experience effectively communicating complex concepts through written and verbal communication
 * Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)

## Description

We are seeking a Data Scientist II with strong applied-science skills to join our Perfect Order Experience (POE) team. In this role you will build models that anticipate customer, seller, brand, and program outcomes, working at the intersection of predictive modeling, economic reasoning, and business strategy. You will partner closely with business stakeholders to translate complex, open-ended problems into well-defined scientific questions, and develop predictive models that turn those questions into actionable insight. Your work will directly inform how the business grows, protects customers and brands, and makes investment and policy decisions.