[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Data Scientist II, NAS Returns Tech US, WA, Seattle Data & Analytics Listed on Amazon’s official careers site. Posted August 13, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10501193/data-scientist-ii-nas-returns-tech) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Data Scientist II, NAS Returns Tech ## Job 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. 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, LLM, 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. ### Key job responsibilities - 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. - You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns. - 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. ## At a glance - Posted by the employer: Aug 13, 2026 - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 18, 2026 - Listed for: 66 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10501193/data-scientist-ii-nas-returns-tech) ## More jobs at Amazon ### [2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ff40f3fb9994d287be5b/) US, WA, Seattle ### [2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ec62591ec9ad3128e879/) US, WA, Seattle ### [2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/7128f74c5feed87f1056/) US, WA, Seattle ### [AI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team](https://jobs.opennash.com/companies/amazon/jobs/099d20823db20e58f0cb/) US, WA, Seattle ### [Agentic Data Engineer, Frontier AI Tooling](https://jobs.opennash.com/companies/amazon/jobs/9dcc6d31850954e424d5/) US, WA, Seattle ## Similar jobs at other companies ### [Flight Instructor Manager / F-35 / NAS Lemoore](https://jobs.opennash.com/companies/lockheed-martin/jobs/a456533c035f54f10102/) Lockheed Martin · Lemoore, CA ### [F-35 Aircraft Field Service Engineer (NAS Lemoore), Level 2](https://jobs.opennash.com/companies/lockheed-martin/jobs/033e07e71780eabc9ff2/) Lockheed Martin · Lemoore, CA ### [Data Scientist](https://jobs.opennash.com/companies/huntington-bank/jobs/5f9db862d9e9bcf6d14e/) Huntington Bank · Columbus, OH ### [Data Scientist](https://jobs.opennash.com/companies/genuine-parts/jobs/6b7e625b817603b4037b/) Genuine Parts · Montgomery, AL ### [Senior Data Scientist](https://jobs.opennash.com/companies/cargill/jobs/014d8c1c31b625580e04/) Cargill · Wayzata, Minnesota [Jobs in Seattle, WA](/locations/us/wa/seattle/)[Jobs in Washington](/locations/us-wa/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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