Senior Data Scientist, ORBIT
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazons Last Mile is one of the worlds most complex logistics engines and one of the companys 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 teams 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 Amazons 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 daythis 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.
A day in the life
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 a world where data and metrics are abundant our mission is to provide actionable insightsdescriptive predictive and prescriptivethat 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 Amazons 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.
- 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 Amazons 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 daythis 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.
A day in the life
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 a world where data and metrics are abundant our mission is to provide actionable insightsdescriptive predictive and prescriptivethat 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 Amazons 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.
- 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
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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 159200.00 - 215300.00 USD annually
Required Experience:
Senior IC
Key Skills
About Company
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