Amazon Sr Applied Scientist Denied Party Screening 

United States, Washington, Seattle 

637530292

Key job responsibilities
In this role, you will:
• Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
• Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
• Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
• Communicate complex technical concepts to technical and non-technical stakeholders • Mentor and grow a team of talented ML scientists and engineers
• Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniquesA day in the life
1. Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
2. Brainstorming new ML architectures and approaches with your cross-functional team during a whiteboard session
3. Diving deep into a complex dataset, leveraging advanced statistical and ML techniques to uncover hidden insights
4. Prototyping a new ML model and running a series of experiments to optimize its performance
5. Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
6. Mentoring a junior data scientist, providing guidance on coding best practices and problem-solving strategiesWork/Life BalanceTraining and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

- 4+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning