Amazon·E-commerce·10 days ago
10 days ago
Data Scientist II, Amazon Travel & Events
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What you'll do
- Machine Learning Development — Design and implement advanced ML models and algorithms to solve complex problems across the travel and events domain
- Production NLP Systems — Build and optimize large-scale NLP solutions using LLMs and transformer architectures, and take them to production
- Applied GenAI — Adapt foundation models and LLM-based approaches to travel and events challenges through fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Data Pipeline Architecture — Build efficient, scalable data pipelines and architectures for AI applications on AWS
- Cross-Functional Collaboration — Partner with Travel Operations, Supplier Category, and Travel Technology teams to support data-driven decisions and improve business processes
- Experimentation and Analysis — Design and run rigorous experiments and ablation studies on large-scale datasets, and deliver results with statistical rigor
- Code Quality — Write clean, well-tested, production-quality code and build ML pipelines from prototype through deployment
- Applied Research — Track the latest research in GenAI, Vision-Language Models (VLMs), and multimodal AI, and identify where it can solve team problems
What they're looking for
- 5+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
Nice to have
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
The Amazon Travel & Events (AT&E) Technology Solutions team is looking for a Data Scientist to build intelligent, AI-driven solutions that transform how Amazon manages travel and events at scale. You'll develop machine learning and generative AI systems that improve the customer experience and deliver measurable business value for Amazon's business travelers and events programs.
Working alongside experienced engineers, you'll advance conversational AI, intelligent automation, and data-driven decision making. You'll work hands-on with Amazon's heterogeneous travel data—contracts, booking systems, supplier data, and event logistics—using large-scale compute to accelerate travel and events intelligence.
Key job responsibilities
- Machine Learning Development — Design and implement advanced ML models and algorithms to solve complex problems across the travel and events domain
- Production NLP Systems — Build and optimize large-scale NLP solutions using LLMs and transformer architectures, and take them to production
- Applied GenAI — Adapt foundation models and LLM-based approaches to travel and events challenges through fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Data Pipeline Architecture — Build efficient, scalable data pipelines and architectures for AI applications on AWS
- Cross-Functional Collaboration — Partner with Travel Operations, Supplier Category, and Travel Technology teams to support data-driven decisions and improve business processes
- Experimentation and Analysis — Design and run rigorous experiments and ablation studies on large-scale datasets, and deliver results with statistical rigor
- Code Quality — Write clean, well-tested, production-quality code and build ML pipelines from prototype through deployment
- Applied Research — Track the latest research in GenAI, Vision-Language Models (VLMs), and multimodal AI, and identify where it can solve team problems
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Working alongside experienced engineers, you'll advance conversational AI, intelligent automation, and data-driven decision making. You'll work hands-on with Amazon's heterogeneous travel data—contracts, booking systems, supplier data, and event logistics—using large-scale compute to accelerate travel and events intelligence.
Key job responsibilities
- Machine Learning Development — Design and implement advanced ML models and algorithms to solve complex problems across the travel and events domain
- Production NLP Systems — Build and optimize large-scale NLP solutions using LLMs and transformer architectures, and take them to production
- Applied GenAI — Adapt foundation models and LLM-based approaches to travel and events challenges through fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Data Pipeline Architecture — Build efficient, scalable data pipelines and architectures for AI applications on AWS
- Cross-Functional Collaboration — Partner with Travel Operations, Supplier Category, and Travel Technology teams to support data-driven decisions and improve business processes
- Experimentation and Analysis — Design and run rigorous experiments and ablation studies on large-scale datasets, and deliver results with statistical rigor
- Code Quality — Write clean, well-tested, production-quality code and build ML pipelines from prototype through deployment
- Applied Research — Track the latest research in GenAI, Vision-Language Models (VLMs), and multimodal AI, and identify where it can solve team problems
Basic Qualifications
- 5+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
E-commerce
Company
AmazonE-commerce
Seattle, United States of America
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