Principal Data Scientist, Core Shopping Data Science

Amazon Science; Seattle (WA); On-site; USD 189,000 - 256,000; Full time

Job summary

Amazon Science is seeking a data scientist to join our Core Shopping Data Science team in Seattle, focusing on quality measurement for homepage, search, and recommendations. You will work on metrics that guide product decisions and invariants that senior leadership rely on to gauge shopping quality.

You will design experiments, validate metric definitions, and build self-serve tooling to make measurement reproducible, communicating findings to stakeholders across Stores, Ads, and ranking teams

Qualifications

• A graduate degree in a quantitative field and substantial data science experience with leadership on high-visibility problems.

Responsibilities

• Validate store quality metrics end-to-end: inspect metric definitions, audit LLM implementations, and evaluate LLM judgment accuracy across quality dimensions (relevance, presentation, product quality, duplicates)
• Starting with Homepage, extending cross-page — identify gaps and inconsistencies between Organic and Ads treatments that block the tiered enforcement framework
• Drive alignment through deep dives that present evidence to both Stores and Ads stakeholders
• Build and deliver deep-dive tooling (walk-the-store bots, automated experiment inspection via Gecko, VoC feedback loops) that make metric validation repeatable and self-serve
• Own the analytical rigor behind the alignment on definitions of subjective/debated metrics and moving them to aligned/enforceable

Skills

Statistical inference

Experimental design

Sampling methodology

Python

SQL

Education

Graduate degree in statistics, computer science, economics, or operations research

Tools

Python

SQL

Job description

Description

Every day, hundreds of millions of customers arrive on Amazon's Homepage, search for a product, and land on a detail page. Along the way, some of what we show them is irrelevant — a recommendation that misreads what they want, a widget that repeats what they just saw, a headline that doesn't say what it means, a product that shouldn't have been surfaced at all. We have built the ability to detect these defects at scale using Large Language Models (LLMs), and we report them to Amazon's most senior leadership as a company-level measure of shopping quality. What we have not yet built is the confidence to act on every one of them.

Key job responsibilities

• Validate store quality metrics end-to-end: inspect metric definitions, audit LLM implementations, and evaluate LLM judgment accuracy across quality dimensions (relevance, presentation, product quality, duplicates)
• Starting with Homepage, extending cross-page — identify gaps and inconsistencies between Organic and Ads treatments that block the tiered enforcement framework
• Drive alignment through deep dives that present evidence to both Stores and Ads stakeholders
• Build and deliver deep-dive tooling (walk-the-store bots, automated experiment inspection via Gecko, VoC feedback loops) that make metric validation repeatable and self-serve
• Own the analytical rigor behind the alignment on definitions of subjective/debated metrics and moving them to aligned/enforceable

About The Team

Core Shopping Data Science owns the measurement of shopping quality across Amazon's Core Shopping eexperiences, including defect metrics reviewed by Amazon's most senior leadership. We focus on the long term and big picture to ensure that the full Amazon shopping experience balances strategic trade-offs. We work across Stores and Advertising, partnering with personalization, ranking, and search teams to turn measurement into changes customers can feel.

Basic Qualifications

• You bring a graduate degree in a quantitative field — statistics, computer science, economics, operations
  research, or similar — or equivalent depth built through experience, along with substantial industry
  experience as a data scientist, including a track record of technical leadership on ambiguous, high-visibility problems. You are fluent in statistical inference, experimental design, and sampling methodology, and you write production-quality code in Python and SQL. You have owned metrics that other organizations made decisions with, and you have defended them under scrutiny.

Preferred Qualifications

• We are especially interested in candidates who have evaluated large language models as judges or annotators and understand where that approach fails; who have driven measurement alignment across organizations with genuinely competing incentives; and who have built the tooling that made their own analysis reproducible for others. Experience with e-commerce search, recommendations, or advertising quality is valuable, as is a history of communicating quantitative findings to senior executives in writing.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Palo Alto - 217,800.00 - 294,700.00 USD annually

USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually