Principal Research Scientist, AGFS Fees

Job description

DESCRIPTION

This role is part of the Selling Partner Fees team that owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers.

We are looking for a Principal Scientist to lead the development of models to measure the causal impact of fee changes on third-party programs, such as Fulfillment by Amazon (FBA), worldwide. The ideal candidate will be an influencer with outstanding technical skills and a practical mindset. They will lead the development of statistical and machine learning models to understand third party seller behaviors and enhance our pricing calculation models. This candidate will be comfortable leading research in cutting edge models and communicating their findings with senior leadership. They’ll be comfortable with ambiguity and enjoy working in a fast-paced and dynamic environment. The position also requires collaboration with other scientists (Economists, Data Scientists…), Strategy Analysts, Product Managers and Software Developers.

Responsibilities:
· Design and develop rigorous models to assess the causal impact of fees on third party sellers’ behavior and business performance
· Design and conduct experiments to validate theories and improve understanding of Amazon’s third party marketplace ecosystem
· Own the scientific vision and direction related to fees worldwide.
· Collaborate with product managers, data scientists and software developers to incorporate models into production processes and influence senior leaders
· Act as ambassador for the fees scientific community

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

PREFERRED QUALIFICATIONS

· PhD in Statistics, Applied Mathematics, Operations Research or a related field
· Strong research track record
· Hands-on experiences in data science and machine learning.
· Proven ability to mentor and develop junior scientists

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Desired profile

BASIC QUALIFICATIONS

· Graduate degree in Statistics, Econometrics, Applied Mathematics, Operations Research or a related field
· 10+ years of experience in industry, consulting, government, or academic research
· Subject matter expert in applying causal modeling techniques to draw causal inferences in observational studies
· Excellent written and verbal technical communication with both technical and business audience.
· Strong influencing and partnership skills
· Fluency in a high-level modeling language such as Python or R
· Ability to work in a fast-paced business environment.