【人才】亚马逊数据科学家JD

Sr. Data Scientist - Amazon Homepage

US, WA, Seattle • Job ID 271528 • Amazon Corporate LLC

Job Description

The Amazon Homepage team is looking for an experienced and motivated individual with strong analytical skills to join our team. The work done by this individual will directly impact one of the most visited properties on the internet. 

 

The scientist will build statistical models, apply machine learning techniques, analyze very large data sets, and construct metrics using these modeling techniques to drive critical business decisions. Problems we work on every day include:

• How do we intelligently analyze, define, test, and populate customer segments?
• How do we better optimize our browsing and shopping experience for different segments to find the sweet spot between a variety of goals, including sales, education, and repeat customer engagement?
• Should we be thinking about customer experiences for new customers differently than we do for long-time customers?
• How can we more effectively collect useful data to help develop and refine our segments and algorithms?
• Do behaviors and segments differ by customer location and device type?

 

These analyses and models will guide critical business decisions by highlighting opportunities, identifying correlations, defining experiments, and determining cause and effect relationships. 

 

The scientist must have relevant domain knowledge with large data sets, and development of predictive algorithms to solve complex business problems. S/he should also be able to teach and mentor less experienced team members and data analysts inside of the group and across the company. 

Basic Qualifications

Demonstrated experience as a strong contributor or leader of a data analytics team for 5 years or more.

• Ability to manage and quantify improvement in an area of the company’s business resulting from the application of business analytics, statistical models, optimization techniques, and machine learning.
• Graduate level degree in Statistics, Applied Mathematics, Computer Science, Operations Research, or equivalent
• Demonstrated track record in effectively communicating complex analysis and insights to senior leaders both verbally and in writing.
• Demonstrated use of modeling results to improve business decisions, particularly using model-based decision criteria in real time systems.

Preferred Qualifications

• PhD in Statistics, Applied Mathematics, Computer Science, Operations Research, or equivalent
• Experience writing scripts (Perl, Ruby) to manipulate data and developing software in traditional programming languages (C++, Java, Python).
• Experience with web and retail analytics