Amazon.com’s Buyer Risk Prevention (BRP) is looking for an Applied Scientist to join the Buyer Abuse Prevention team to combine advanced analytics with investigator insights to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Responsibilities
- Invent, implement, and deploy state of the art machine learning algorithms and systems
- Build prototypes and explore conceptually new solutions
- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
- Take ownership of how ML solutions impact Amazon resources and Customer experience
- Develop efficient data querying infrastructure for both offline and online use cases
- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
- Research and implement novel machine learning and statistical approaches
Other
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- collaborate effectively with business and product leaders within BRP and cross-functional teams
- apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions
- proactively present new insights in concise and effective manner
- effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences
