Job Description

DESCRIPTION
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud

Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems

Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company
Do you enjoy collaborating in a diverse team environment

If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a Sr. manager of Applied Science who can lead a team of talented scientists to build advanced algorithmic systems that help manage the safety of millions of transactions every day. You will also spearhead initiatives to leverage Generative AI technologies to revolutionize our fraud detection capabilities and create next-generation risk prevention solutions
Key job responsibilities
- Lead a team of scientists in developing machine learning and statistical techniques to create scalable risk management systems, including exploration of GenAI applications
- Guide team strategy in analyzing Amazon's historical business data to identify risk patterns and trends that inform business decisions
- Partner with senior leaders to frame business problems, establish scientific vision, and execute strategic roadmaps across the organization
- Direct research initiatives in novel machine learning approaches and ensure successful implementation of promising solutions
- Oversee the design, development, and evaluation of highly innovative risk management models
- Build and maintain strategic partnerships with software engineering teams to ensure successful real-time model implementations and new feature creations
- Develop and maintain relationships with operations staff to optimize risk management operations
- Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation
- Provide clear, compelling management reporting on team progress, model performance, and business impact.
- Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team.
BASIC QUALIFICATIONS
- A Master in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
- 8+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Good written and spoken communication skills
- Experience of building/developing teams, direct and shape the team plan, culture and strategy.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
- 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager
- Experience in managing managers
- Machine Learning breadth and depth
- Ability to think creatively and solve complex business and technical problems
- Skills in SQL/Python/R (or similar)
- Demonstrated track record of cultivating effective working relationships and driving collaboration across multiple technical and business teams
- Experience in managing cross-functional projects
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