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Applied Scientist I, Risk Management Solutions
2 months ago
Job Overview:
Join a pioneering team of researchers dedicated to leveraging machine learning and statistical methodologies to enhance Amazon's customer experience by mitigating eCommerce fraud.
Role Expectations:
Are you enthusiastic about the opportunity to analyze and model vast datasets while developing cutting-edge algorithms to address real-world challenges?
Do you thrive on taking ownership of comprehensive business challenges and influencing the company's profitability? Are you passionate about working collaboratively within a diverse team?
If so, you might be an excellent match for the Amazon Buyer Risk Prevention (BRP) Machine Learning team.
Key Responsibilities:
As a scientist, you will be instrumental in constructing sophisticated algorithmic frameworks that ensure the safety of millions of transactions daily.
- Utilize machine learning and statistical techniques to develop scalable risk management systems.
- Analyze extensive historical business data to identify specific risk instances and broader risk patterns.
- Design, develop, and assess innovative models for effective risk management.
- Collaborate closely with software engineering teams to implement real-time models and introduce new features.
- Work alongside operations personnel to enhance risk management processes.
- Establish efficient, automated procedures for large-scale data analysis, model development, validation, and implementation.
- Monitor overall business activities and provide clear, insightful management reports regularly.
- Research and apply novel machine learning and statistical methodologies.
- Master's degree in computer science, mathematics, statistics, machine learning, or a related quantitative discipline.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- Experience with SQL and relational database management systems (e.g., Oracle) or data warehousing solutions.
- Experience in implementing algorithms using both established toolkits and custom-developed code.
- Publications in top-tier peer-reviewed conferences or journals.
Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
