Data Scientist II, NAS Returns Tech

Overview

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 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 i

What you'll do

• 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 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, 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.

Requirements

• Practical experience with Python, Go, Rust, RAG.
• Experience level: 3+ yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Seattle, Washington, USA.

Skills