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About the Role

Join a team focused on solving customer needs through disruptive and innovative technology in a fast-paced, startup-like environment. This role drives Amazon towards a defect-free customer experience by building technology that identifies, resolves, and prioritizes improvement opportunities.

Responsibilities

Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards.
Partner with operations/business teams, economists, and ML teams to consult on, develop, and implement KPIs, automated reporting/process solutions, and data infrastructure improvements.
Design data architectures that enable agentic workflows: structured data access layers, tool-use APIs, context management systems consumed autonomously by AI agents, and self-serve analytics.
Develop end-to-end automation of pipelines for applications and ML models, including data infrastructure for AI agent systems.
Apply analytical skill to extract meaningful insights from large, complex data sets, including unstructured text corpora used in generative AI applications.
Serve as liaison between business and technical teams to achieve project objectives including data gathering, problem solving, modeling, and communicating insights and recommendations.
Leverage LLM-based agents to automate routine analytics work like query generation, data validation, anomaly detection, and report narration.
Stay current on advances in AI/ML data infrastructure (e.g., feature stores, vector search, streaming inference pipelines) and evaluate applicability to defect elimination use cases.

Requirements

7+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership

Skills

SQL
Programming
Data Extraction
Data Transformation
Data Cleaning
Design of Experiments
Statistical Analysis
AWS Technologies
Information Retrieval
Data Science
Machine Learning
Data Mining
Business Stakeholder Management
Data Analysis
Communication

Location

USA, TX, Austin

Work Type

Full-time

Experience Level

7+ years of professional or military experience
5+ years of SQL experience

Education Level

Bachelor's degree
Master's degree in statistics, data science, or an equivalent quantitative field

Salary/Compensations

130,400.00 - 176,300.00 USD annually

Benefits

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

About the Company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Equal Opportunity

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