Applied Scientist II, Amazon Business Companion
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Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Do you want to join an innovative team of scientists who leverage machine learning and statistical techniques to revolutionize how businesses discover and purchase products on Amazon Are you passionate about building intelligent systems that understand and predict complex B2B customer needs The Amazon Business team is looking for exceptional Applied Science to help shape the future of B2B commerce.
Amazon Business is one of Amazons fastest-growing initiatives focused on serving business customers from individual professionals to large institutions with unique and complex purchasing needs. Our customers require sophisticated solutions that go beyond traditional B2C experiences including bulk purchasing approval workflows and business-grade service support. The AB-MSET Applied Science team focuses on building intelligent systems for delivering personalized contextual service experiences throughout the customer lifecycle. We apply advanced machine learning techniques to develop sophisticated intent detection models for business customer service needs create intelligent matching algorithms for optimal service routing based on multiple variables including customer value maturity effort and issue complexity build predictive models to enable proactive service interventions design recommendation systems for self-service solutions and develop ML models for automated service resolution.
As an Applied Scientist on the team you will design and develop state-of-the-art ML models for service intent classification routing optimization and customer experience personalization. You will analyze large-scale business customer interaction data to identify patterns and opportunities for automation create scalable solutions for complex B2B service scenarios using advanced ML techniques and work closely with engineering teams to implement and deploy models in production. You will collaborate with business stakeholders to identify opportunities for ML applications establish automated processes for model development validation and maintenance lead research initiatives to advance the state-of-the-art in B2B service science and mentor other scientists and engineers in applying ML techniques to business problems.
- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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 using Unix/Linux
- Experience in professional software development
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.
Amazon Business is one of Amazons fastest-growing initiatives focused on serving business customers from individual professionals to large institutions with unique and complex purchasing needs. Our customers require sophisticated solutions that go beyond traditional B2C experiences including bulk purchasing approval workflows and business-grade service support. The AB-MSET Applied Science team focuses on building intelligent systems for delivering personalized contextual service experiences throughout the customer lifecycle. We apply advanced machine learning techniques to develop sophisticated intent detection models for business customer service needs create intelligent matching algorithms for optimal service routing based on multiple variables including customer value maturity effort and issue complexity build predictive models to enable proactive service interventions design recommendation systems for self-service solutions and develop ML models for automated service resolution.
As an Applied Scientist on the team you will design and develop state-of-the-art ML models for service intent classification routing optimization and customer experience personalization. You will analyze large-scale business customer interaction data to identify patterns and opportunities for automation create scalable solutions for complex B2B service scenarios using advanced ML techniques and work closely with engineering teams to implement and deploy models in production. You will collaborate with business stakeholders to identify opportunities for ML applications establish automated processes for model development validation and maintenance lead research initiatives to advance the state-of-the-art in B2B service science and mentor other scientists and engineers in applying ML techniques to business problems.
- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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 using Unix/Linux
- Experience in professional software development
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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