Amazon Principal Applied Scientist Amazon B2B Payments Lending Credit Science 

United States, Washington, Seattle 

766928073

Key job responsibilities
The Principal Applied Scientist will:
• Lead science researches of payment and credit products through macroeconomic cycles, demonstrating high judgment and deep business experience
• Design and implement innovative AI/ML models, including GenAI solutions, develop scalable science frameworks that drive business growth, and create industry-first inventions addressing a broad set of customer needs
• Set the vision and influence multi-year research agenda for ABPL science teams. Serve as a strategic advisor to science, product, and engineering partners, influencing their multi-year roadmaps
• Provide science leadership for complex initiatives. Identify, build, and deliver mechanisms to improve internal and external science communities
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.

• Master's Degree in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning or equivalent)
• 10+ years experience in a science role, applying ML to solve complex problems for large-scale applications
• Superior analytical skills. Demonstrated ability to identify and solve ambiguous problems
• Demonstrated attention to detail and desire to roll up your sleeves
• Demonstrated ability to operate both strategically and tactically in a high-energy, fast-paced environment. High degree of organization and ability to manage multiple, competing priorities.
• Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels
• Proficiency in Python, SQL, or other programming language
• Experience developing machine learning solutions with AWS

• Ph.D in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning or Equivalent)
• 15+ years of practical experience applying ML to solve complex problems
• 5+ years experience in credit underwriting or related work in financial services domain
• Experience in develop and apply Large Language Models (LLM) to solve complex problems for large-scale applications
• Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track
• Project management experience for working on cross-functional projects
• Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems