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# Data Scientist II, NAS Returns Tech

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Mining, Query Languages, Perl (Programming Language), R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Recommender Systems, SAS (Software), SQL Databases, Scripting, Generative AI
- **Published:** August 14, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10501193/data-scientist-ii-nas-returns-tech

## About the Role

The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning, GenAI applications and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist., You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.

 - You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 - You thrive in an agile and fast-paced environment on highly visible projects and initiatives.

Basic Qualifications

 - 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
 - 2+ years of data scientist experience
 - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 - Experience applying theoretical models in an applied environment
 - Bachelor's degree, or BS degree

Preferred Qualifications

 - Experience in Python, Perl, or another scripting language
 - Experience in a ML or data scientist role with a large technology company
 - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

## Description

Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!

Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience., You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.


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