Staffing Research team Workforce Staffing Research
The Workforce Staffing Research team is responsible for our hourly workforce: who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have. Here’s where you come in: 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 theory-driven classic statistics to data-driven supervised and unsupervised ML models - to understand our candidates' experience
- Master's degree in a discipline with predominantly quantitative aspects, e.g. data science, statistics, or a quantitative research degree. - Knowledge of a variety of quantitative modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks, graph theory - Expertise with A/B testing and similar methods - Proficiency in command line tools. - 3+ years experience in R or Python. -SQL experience 3+ years; experience with Redshift preferred. -Experience with algorithm development - Demonstrated experience working with new technology while working closely with research scientists,