Amazon Sr Applied Scientist - AWS Fraud Prevention 

Germany, Berlin 

593577419

You’ll be part of a team of Applied Scientists, Research Scientists, Data Scientists, Investigations Analysts, and Technical & non-Technical Program Managers and Software Engineers. As an Applied Scientist, you will work directly with these folks to monitor the flavor/ trend of exploits AWS worldwide and design appropriate solutions to respond in a collaborative environment. There are no walls, and success is determined by your ability to dive deep, and understand the subtle demands new and complex services will place upon systems and teams.As a Sr. Applied Scientist your responsibilities will include:
- Develop and apply state-of-the-art Machine Learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection and mitigation solutions
- Actively contribute to the development of our ML Ops infrastructure
- Actively contribute to the creation and delivery of our science roadmap which includes Gen AI efforts- Mentor and coach junior scientists
- Publish your work at internal and external conferences/journals
- Providing on-call product support approximately once every 3 monthsOn Call Responsibility. This position involves on-call responsibilities to support emergent customer impacting events. Our on-call fraud escalation support occurs approximately once every 12 weeks.About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceBerlin, BE, DEU

- PhD plus experience (3+years) or MS plus experience (6+ years) in ML, NLP, computer vision, or related fields
- Experience in building machine learning models for business application
- Research expertise in deep learning
- Experience programming in Java, C++, Python or related language
- Experience in publishing research papers
- Experience in Generative Models.

- Phd in Computer Science/Machine learning
- Experience in publications at top-tier peer-reviewed conferences or journals
- Experience working in the Fraud Prevention domain
- Excellent communication skills
- Strong skills in problem solving, programming, and computer science fundamentals
- Strong algorithm development experience
- Solid background in statistics, math, CS, machine learning and artificial intelligence
- Solid knowledge of statistics and probability
- Comfortable working in a fast paced, highly collaborative, dynamic work environment