Senior Data Scientist, NAS Discovery and Returns

Overview

Do you thrive in generating actionable insights at scale from complex datasets? Can you use data to look around the corners of a business and guide leaders on impactful business decisions? The Shop and Do you thrive in generating actionable insights at scale from complex datasets?

What you'll do

• Do you thrive in generating actionable insights at scale from complex datasets?
• Can you use data to look around the corners of a business and guide leaders on impactful business decisions?
• The Shop and Do you thrive in generating actionable insights at scale from complex datasets?
• Can you use data to look around the corners of a business and guide leaders on impactful business decisions?
• The Shop and Keep Data and Science team builds internet-scale shopping intelligence that helps Amazon customers find what they want with ease and give them the right information to make confident and lasting purchases.
• Our work powers customer experiences across Amazon.com surfaces, including Search, Product Detail Pages, Recommendations and Ads.
• We are looking for an experienced Senior Data Scientist to lead high visibility science initiatives that guide the business and ensure quality of our shopping intelligence signals.
• This role will focus on Data Science and Analytics related to signal quality evaluation, impact measurement, and delivering business insights.
• The role requires deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.
• As a member of this team, the role will dive deep into our data and leverage their strong skills in measurement science, LLMs, predictive and prescriptive models, data ETLs, dashboards and visualization to support business strategy and deliver goals with executive visibility.

Requirements

• Practical experience with Python, Go, LLM, RAG.
• Experience level: 5+ yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Seattle, Washington, USA.

Skills