Logo
Amazon

Applied Scientist I, Buyer Abuse Prevention

Amazon, Seattle, Washington, us, 98127


Applied Scientist I, Buyer Abuse Prevention

Job ID: 2827024 | Amazon.com Services LLCAmazon.com Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively reduce the impact of abuse across Amazon.

Key job responsibilitiesModel complex problems, discover insights, and build cutting-edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.Collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards.Apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in a concise and effective manner.Communicate insights to non-technical audiences and drive issues to resolution independently.

A day in the lifeInvent, 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.Maintain technical documentation and communicate results to diverse audiences with effective writing, visualizations, and presentations.

BASIC QUALIFICATIONS

Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field.Experience building machine learning models or developing algorithms for business applications.Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization.Experience programming in Java, C++, Python or related language.Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

PREFERRED QUALIFICATIONS

Experience implementing algorithms using both toolkits and self-developed code.Have publications at top-tier peer-reviewed conferences or journals.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Posted:

August 15, 2024

#J-18808-Ljbffr