Data Scientist, WFS Amazon
Seattle, WA

Job Description

What is the team? The Workforce Staffing Research & Business Intelligence team is your opportunity to make an impact across multiple layers of the company and the hourly workforce as a whole. This team provides a unique voice for the hourly labor population within the United States and Canada, leading and influencing programs that enable Amazon to scale more efficiently.

Here's where you come in:

What is the role? As a Data Scientist in Workforce Staffing, your work is focused on driving analytics and develop algorithms that provide insights into the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.

You leverage your deep expertise in analytics - from classic statistics to ML and graph theory - to understand our candidates' experience from initial exposure to a potential job to successful onboarding. You apply your knowledge of complex and hierarchical data to make recommendations that apply across all of North America, or that may apply to a specific region only. You take an active role in the design, deployment, and continued analysis of our global candidate analysis activities.

You can apply your expertise to generate accurate trending information accounting for seasonal effects, comparable data (across job functions, sites, geographical regions etc.), and are comfortable communicating them to technical and non-technical stakeholders. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles.

This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let's chat.