Hao Xu

Data Scientist at Amazon

Role: Data Scientist at Amazon
Location: Seattle, WA, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Hao Xu

Machine Learning | Data Science | Software Engineering Seven years of experience in data mining and machine learning spanning on multiple industrial and research projects Highly-driven, self-motivated and enthusiastic towards exploring and learning emerging technologies Demonstrated technical skills and excellent verbal and written communication skills

Experience

Data Scientist
Amazon
Sep 2025 — Present · Seattle, WA, US

Education

University of Alberta
Master's degree
University of Alberta
Master of Science - MS

Skills

教学
Microsoft Office
Solidworks
Reliability Engineering
Data Analysis
Fault Diagnosis
Gas Pipelines
管理人员
C++
Leadership
Autocad
C
Programming
Maintenance Management
Finite Element Analysis
顾客服务
Machine Learning
Python
Latex
公开演讲
Research
Microsoft Excel
数据分析
Matlab
Computer-Aided Design (Cad)
Signal Processing
Public Speaking
Fault Tree Analysis
Teaching

Contact information

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Work email
•••••@amazon.com
Personal email
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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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