Principal Applied Scientist, Amazon B2B Payments and Lending, Credit Science
Principal Applied Scientist, Amazon B2B Payments and Lending, Credit Science
Posted on :
14-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
14-05-2025
Job Description
Amazon B2B Payments and Lending (ABPL) is seeking a Principal Applied Scientist to lead our efforts in building innovative payments and credit services for businesses worldwide. This role presents significant intellectual technical and operational challenges with enormous potential for business impact. This role offers a unique opportunity to leverage deep B2B insights with rigorous scientific approaches to deliver exceptional value to our customers.
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 industryfirst inventions addressing a broad set of customer needs
Set the vision and influence multiyear research agenda for ABPL science teams. Serve as a strategic advisor to science product and engineering partners influencing their multiyear 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 fulltime employees include: 1. Medical Dental and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Masters 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 largescale 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 highenergy fastpaced 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 largescale 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 crossfunctional projects
Proven achievements of developing and managing a longterm research vision and portfolio of research initiatives with algorithms and models that have been successfully integrated in production systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 industryfirst inventions addressing a broad set of customer needs
Set the vision and influence multiyear research agenda for ABPL science teams. Serve as a strategic advisor to science product and engineering partners influencing their multiyear 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 fulltime employees include: 1. Medical Dental and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Masters 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 largescale 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 highenergy fastpaced 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 largescale 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 crossfunctional projects
Proven achievements of developing and managing a longterm research vision and portfolio of research initiatives with algorithms and models that have been successfully integrated in production systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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