Applied Scientist II, Seller Fee Science
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Amazons third-party marketplace is a multibillion-dollar global ecosystem connecting customers and sellers across the world through millions of transactions annually. The Seller Fee Science Team integrates economic modeling machine learning and artificial intelligence to guide business fee strategy ensure fees are accurately computed for millions of products and improves the seller experience with AI tools that support any fee related contact (understanding audit and dispute). We build the scientific foundation that empowers sellers to grow their businesses with clarity and confidence.
Our team brings together world-class economists physicists mathematicians and computer scientists to tackle diverse challenging problems that require theoretical rigor and deliver real-world impact. For example precision measurement of difficult to measure products large-scale simulation of sales inventory and policy changes as well as leveraging natural language understanding and automated reasoning to interpret policy generate code resolve disputes audit fees and respond to sellers at meaninful scale.
As an applied scientist on our team this role will focus on the application of machine learning and artificial intelligence to predict and reconcile measurement of products globally. This blends together statistical modeling application of NLP image processing classical machine learning cost-benefit analysis causal modeling and optimization. Your work will shape not only how fees are implemented but how they are interpreted experienced and trusted at scale. You will partner closely with engineers and product partners to take your solutions from research to production.
We are seeking scientists who are motivated by first principles disciplined experimentation and the technical challenge of deploying ideas at global scale. This is an opportunity to work on consequential problems where mathematical rigor meets real-world complexity and where your models algorithms and systems will directly influence the experience of millions of sellers. If you are driven to build elegant solutions to hard problemsand to see them operate in production at meaningful scalewe would welcome the opportunity to build with you.
Key job responsibilities
- Identify opportunities to improve Seller Experience and translate ambiguous business challenges into well-defined scientific problems with measurable impact.
- Design develop and deploy AI/ML models that improve fee accuracy automate policy-to-code translation and enhance seller understanding of fee calculations.
- Partner closely with engineering and product teams to productionize solutions meeting latency scalability reliability and other system constraints.
- Apply rigorous experimentation causal inference and simulation methods to validate models and quantify business impact at scale.
- Communicate scientific innovations and results clearly to cross-functional stakeholders and contribute to the broader internal and external scientific community through publications talks and technical artifacts.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
- Experience building machine learning models or developing algorithms for business application
- Experience in designing experiments and statistical analysis of results
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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 team brings together world-class economists physicists mathematicians and computer scientists to tackle diverse challenging problems that require theoretical rigor and deliver real-world impact. For example precision measurement of difficult to measure products large-scale simulation of sales inventory and policy changes as well as leveraging natural language understanding and automated reasoning to interpret policy generate code resolve disputes audit fees and respond to sellers at meaninful scale.
As an applied scientist on our team this role will focus on the application of machine learning and artificial intelligence to predict and reconcile measurement of products globally. This blends together statistical modeling application of NLP image processing classical machine learning cost-benefit analysis causal modeling and optimization. Your work will shape not only how fees are implemented but how they are interpreted experienced and trusted at scale. You will partner closely with engineers and product partners to take your solutions from research to production.
We are seeking scientists who are motivated by first principles disciplined experimentation and the technical challenge of deploying ideas at global scale. This is an opportunity to work on consequential problems where mathematical rigor meets real-world complexity and where your models algorithms and systems will directly influence the experience of millions of sellers. If you are driven to build elegant solutions to hard problemsand to see them operate in production at meaningful scalewe would welcome the opportunity to build with you.
Key job responsibilities
- Identify opportunities to improve Seller Experience and translate ambiguous business challenges into well-defined scientific problems with measurable impact.
- Design develop and deploy AI/ML models that improve fee accuracy automate policy-to-code translation and enhance seller understanding of fee calculations.
- Partner closely with engineering and product teams to productionize solutions meeting latency scalability reliability and other system constraints.
- Apply rigorous experimentation causal inference and simulation methods to validate models and quantify business impact at scale.
- Communicate scientific innovations and results clearly to cross-functional stakeholders and contribute to the broader internal and external scientific community through publications talks and technical artifacts.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
- Experience building machine learning models or developing algorithms for business application
- Experience in designing experiments and statistical analysis of results
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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