Risk Management Applied Scientist
2 weeks ago
Join Our Innovative Team
Are you interested in being part of a pioneering group of scientists dedicated to utilizing machine learning and statistical methodologies to enhance Amazon's customer experience by mitigating eCommerce fraud?
Exciting Challenges Await
Do you thrive on the challenge of analyzing and modeling vast datasets while developing cutting-edge algorithms to address real-world issues? Are you passionate about taking ownership of comprehensive business challenges and metrics that directly influence the company's profitability? If you enjoy working collaboratively in a diverse team setting, you might be the ideal candidate for our Amazon Buyer Risk Prevention (BRP) Machine Learning team.
Your Role and Responsibilities
- Employ machine learning and statistical methods to develop scalable risk management systems.
- Analyze and comprehend extensive historical business data to identify specific instances of risk 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 create new features.
- Work alongside operations teams to enhance risk management processes.
- Establish efficient, automated workflows for large-scale data analysis, model development, validation, and implementation.
- Monitor overall business activities and provide clear, compelling management reports regularly.
- Research and apply novel machine learning and statistical techniques.
About Our Team
At Amazon, we celebrate our diversity and are committed to fostering an inclusive culture. We have numerous employee-led affinity groups, engaging over 10,000 employees globally. Our innovative benefits and ongoing learning opportunities, including our DEI Ambassador Program, reflect our dedication to inclusion. Our 16 Leadership Principles guide us in seeking diverse perspectives, fostering curiosity, and building trust.
Basic Qualifications
- 3+ years of experience in building models for business applications.
- PhD or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, and high-performance computing.
Preferred Qualifications
- A PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a relevant field.
- 5+ years of industry experience in predictive modeling and analysis.
- Strong breadth and depth in Machine Learning.
- Proficient in SQL and familiar with Spark/Python/Perl or similar technologies.
- Creative problem-solving skills.
- Excellent written and verbal communication abilities.
- Proven track record of building strong working relationships and fostering collaboration across technical and business teams.
Commitment to Diversity
Amazon is dedicated to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
Compensation Information
Our compensation reflects the labor market across various US geographic regions. The base salary for this position ranges from $136,000/year in our lowest geographic market to $222,200/year in our highest geographic market. Pay is determined by several factors, including market location, and may vary based on job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.
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