Amazon Applied Science Manager Amazon B2B Payments Lending 

United States, Washington, Seattle 

325343662

Key job responsibilities
· Lead, mentor, and develop a high-performing science team
· Apply advanced analytics and AI/ML techniques to support Credit Management processes
· Source, incorporate, and analyze alternative credit data to drive innovation
· Own science team roadmap, balance multiple projects efficiently and achieve goals in a fast-paced, dynamic environment
· Own production model (real time and batch) Conduct code review and model monitoring to insist high bar of operating efficiencies and excellence. Ensure high performant credit management science models· Promote a culture of transparency, integrity, and ethical use of data.

- Master's Degree in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning or equivalent)
- 5+ years experience in a data science role, applying ML to solve complex problems for large-scale applications
- 5+ years experience in credit underwriting or related work in financial services domain
- 3+ years experience in leadership role managing Machine Learning Scientists
- 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.
- Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track
- 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)
- 10+ years of practical experience applying ML to solve complex problems ;
- 5+ years experience in credit underwriting or related work in financial services domain; experience with B2B/commercial credit management is a plus
- 5+ years experience managing Machine Learning Scientists
- 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