What are the responsibilities and job description for the Senior Data Scientist, ORBIT position at Amazon Science?
Description
Amazon’s Last Mile is one of the world’s most complex logistics engines and one of the company’s fastest-evolving innovation frontiers. Every package delivered to a customer is powered by thousands of decisions made upstream in planning, routing, staffing, and execution. Our team’s mission is to transform these decisions using science, causal inference, and AI-driven reasoning.
We are looking for a Senior Data Scientist who is passionate about building causal inference models, designing large-scale descriptive analytics frameworks, and advancing the next generation of GenAI-powered decision systems. You will play a pivotal role in shaping the science layer behind Amazon’s Last Mile Knowledge Graph, agentic AI assistants and analytics platforms that support operators and leaders across the globe.
This role is ideal for a scientist who wants to go beyond models someone who wants to influence product strategy, build durable scientific foundations, and deliver measurable business impact at billion-dollar scale. You will experiment, innovate autonomously, and collaborate deeply with science, engineering, and product teams to reinvent how analytics and decisions are made.
If you are excited by ambiguous problems, motivated by business impact, and energized by building science systems that shape operational decisions for tens of thousands of Amazon employees every day—this is the role for you.
Key job responsibilities
No two days look the same in Last Mile. You might start your morning distilling an operational anomaly into a causal hypothesis followed by designing an experiment to quantify true drivers of performance. Later, you may partner with engineers to connect your model outputs to the Last Mile Knowledge Graph, enabling LM-YTP to reason more intelligently.
In the afternoon, you could be meeting with senior leaders to define a modeling roadmap for next quarter, then diving into deep-work time prototyping estimators, testing causal assumptions, or exploring new architectures that power GenAI explainability. You will balance scientific rigor with rapid experimentation, operating with ownership and autonomy in a high-visibility space where your work impacts real-world delivery outcomes every single day.
About The Team
The WW ORBIT team supports the AMZL Planning and Execution organization by delivering end-to-end analytical solutions and driving global metric parity across North America, Europe, and Japan. In a world where data and metrics are abundant, our mission is to provide actionable insights—descriptive, predictive, and prescriptive—that shape strategy and enable smarter decisions. We proactively equip business leaders with strategic data products and insights, while building and maintaining the analytical infrastructure that powers decision-making at scale. By ensuring worldwide consistency in analytical standards and metric definitions, we help the organization communicate, collaborate, and execute seamlessly across regions. With the rapid growth of Amazon’s Last Mile network and the expansion into new businesses, this is an exciting opportunity to join a team where your work will have a tangible, global impact on the future of Last Mile.
Basic Qualifications
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, Bellevue - 159,200.00 - 215,300.00 USD annually
Amazon’s Last Mile is one of the world’s most complex logistics engines and one of the company’s fastest-evolving innovation frontiers. Every package delivered to a customer is powered by thousands of decisions made upstream in planning, routing, staffing, and execution. Our team’s mission is to transform these decisions using science, causal inference, and AI-driven reasoning.
We are looking for a Senior Data Scientist who is passionate about building causal inference models, designing large-scale descriptive analytics frameworks, and advancing the next generation of GenAI-powered decision systems. You will play a pivotal role in shaping the science layer behind Amazon’s Last Mile Knowledge Graph, agentic AI assistants and analytics platforms that support operators and leaders across the globe.
This role is ideal for a scientist who wants to go beyond models someone who wants to influence product strategy, build durable scientific foundations, and deliver measurable business impact at billion-dollar scale. You will experiment, innovate autonomously, and collaborate deeply with science, engineering, and product teams to reinvent how analytics and decisions are made.
If you are excited by ambiguous problems, motivated by business impact, and energized by building science systems that shape operational decisions for tens of thousands of Amazon employees every day—this is the role for you.
Key job responsibilities
- Lead causal inference and descriptive analytics science for Last Mile, designing models that explain why things happen, not just what happened.
- Develop experimentation frameworks, measurement strategies, and model evaluation pipelines that integrate directly into LM-Pulse, LM-YTP, and the Last Mile Knowledge Repository (KR).
- Design and productionize predictive and prescriptive models that guide decisions in demand planning, labor strategy, operational health, and performance optimization.
- Build science components that power GenAI-based products, enabling intelligent reasoning, explainability, and autonomous agent behavior.
- Partner with DEs, BIEs, PMs, and Ops leaders to build scalable data and science architectures that support ML models, causal estimators, ontology-driven insights, and KG integrations.
- Drive experimentation at scale, identifying high-impact opportunities where modeling can directly reduce cost, improve speed, or enhance customer experience.
- Influence product and science strategy by defining scientific tenets, challenging assumptions, and raising the bar on analytic rigor across the organization.
- Communicate scientific findings clearly and persuasively to VP-level audiences, shaping decisions across planning, execution, and network strategy.
No two days look the same in Last Mile. You might start your morning distilling an operational anomaly into a causal hypothesis followed by designing an experiment to quantify true drivers of performance. Later, you may partner with engineers to connect your model outputs to the Last Mile Knowledge Graph, enabling LM-YTP to reason more intelligently.
In the afternoon, you could be meeting with senior leaders to define a modeling roadmap for next quarter, then diving into deep-work time prototyping estimators, testing causal assumptions, or exploring new architectures that power GenAI explainability. You will balance scientific rigor with rapid experimentation, operating with ownership and autonomy in a high-visibility space where your work impacts real-world delivery outcomes every single day.
About The Team
The WW ORBIT team supports the AMZL Planning and Execution organization by delivering end-to-end analytical solutions and driving global metric parity across North America, Europe, and Japan. In a world where data and metrics are abundant, our mission is to provide actionable insights—descriptive, predictive, and prescriptive—that shape strategy and enable smarter decisions. We proactively equip business leaders with strategic data products and insights, while building and maintaining the analytical infrastructure that powers decision-making at scale. By ensuring worldwide consistency in analytical standards and metric definitions, we help the organization communicate, collaborate, and execute seamlessly across regions. With the rapid growth of Amazon’s Last Mile network and the expansion into new businesses, this is an exciting opportunity to join a team where your work will have a tangible, global impact on the future of Last Mile.
Basic Qualifications
- 5 years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- 2 years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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, Bellevue - 159,200.00 - 215,300.00 USD annually