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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 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.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

• 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

Preferred Qualifications

• 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.