Principal Economist, Fulfillment by Amazon

Amazon is hiring a Principal Economist, Fulfillment by Amazon in Bellevue, United States. It pays $189k-$256k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions GenAI, econometric modeling and market design among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design autonomous supply chain markets and economic models for Fulfillment by Amazon using advanced data science and GenAI.

GenAI

econometric-modelingmarket-designcausal-inferencesupply-chain-optimizationmachine-learning

Fulfillment by Amazon (FBA) is a service that enables sellers to outsource supply chain and fulfillment to Amazon and use Amazon's world-class science, technology, and logistics infrastructure to deliver billions of products from manufacturing hubs to customer doorsteps worldwide with fast delivery promise. The FBA organization is looking for a Principal Economist with expertise in economic and econometric modelling and demonstrated strength in market mechanism design to join our cross-domain group of economists, data scientists, applied and research scientists and scholars.

As a lead economist, you will design markets and implement agentic systems that deploy supply chain and fulfillment resources to millions of heterogenous sellers. You will build causal inference models and experiments to evaluate policy impact on seller outcomes, and shape how our products evolve into trustworthy autonomous systems — collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include designing mechanisms to align sellers' decisions with customers' needs through better coordinating inventory, inbound, capacity, and fee. Successful operations enable sellers' businesses growth, while ensuring worldwide Amazon customers have access to the largest selection of products through FBA sellers. In doing so, you will shape the economics of Amazon's global fast delivery programs, including Sub Same Day Delivery and Quick Commerce, across North America, Europe, and emerging markets.

We are looking for a seasoned economist who brings rigorous causal and structural thinking to traditionally operations research problems and who thrives in the ambiguity of defining the roadmap rather than receiving it. The successful candidate will have familiarity with modern GenAI methods for automation and rapid prototyping. Beyond individual contribution, you will set the long-term technical vision across work streams, and influence product managers, engineers, scientists, and senior leaders on high-judgment decisions and trade-off. You will raise the bar for the organization by establishing best practices, driving science culture, and mentoring junior economists and scientists. We value deeply technical people who deliver results incrementally and frequently in a fast-paced, high-energy and fun environment, and who are eager to learn new areas and develop themselves and their colleagues.

Key job responsibilities
• Design markets (e.g., auctions), incentive mechanisms (e.g. pricing), develop economic models and execute large-scale experiments to increase supply chain efficiency, to evaluate seller-facing policies, to induce proper seller actions, and to uncover new opportunities that improve customers and sellers’ outcomes.
• Shape the economics of Amazon's fast delivery programs and FBA sellers’ product selection strategy (e.g., Sub Same Day Delivery and Quick Commerce)
• Bridge economics and operations research by building economic frameworks for large-scale supply chain and fulfilment management problems.
• Operate as a thought leader across the organization; collaborate with product managers, scientists, and software developers to incorporate models into production processes and
• Influence senior leaders at VP-level on technical and business direction, and represent the science perspective.
• Identify and propose new science investment areas to business leaders, shaping where the team focuses next.
• Mentor and develop junior economists and scientists, and raise the technical bar for the broader science community.

About the team
Sellers play a vital role in Amazon's ecosystem, integral to our mission of offering the Earth's largest selection, lowest prices, and fastest delivery speed. FBA is an optional service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon's world-class facilities to provide customers fast delivery promise. With commitment to taking on even more of the supply chain and operational complexities on behalf of our selling partners, Amazon now provides an end-to-end suite of supply chain services. This comprehensive solution empowers sellers to reliably transport products from manufacturing sites to customers worldwide. The FBA team is the core group in charge of warehousing, inventory management, fulfillment and pricing, and a diverse range of recommendation and agentic services for sellers, as well as building the autonomous internal resource management systems. We work to learn seller behavior, understand seller experience, build automated and trustworthy autonomous assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower sellers to grow their businesses. To do so, we build and innovate science solutions that leverage the right tolls across different fields including economics, operation research, machine learning, statistics, and data analytics. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.

We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, or Sunnyvale, CA.

Basic qualifications

• PhD in Economics, Finance, Statistics, Mathematics, or a closely related quantitative field.
• 7+ years in academia, industry, consulting, or government applying economic methods to substantive problems.
• Experience in applied economic analysis with big data, causal inference, machine learning and data science.
• Demonstrated ability to build complex economic models from scratch and take them to production.
• Proficiency in Python, R, SQL, or equivalent.
• Familiarity with GenAI methods for automation and rapid prototyping.
• A publication record or comparable body of work demonstrating research rigor.
• Excellent written and verbal communication, including with non-technical senior audiences

Preferred qualifications

Deep technical knowledge in causal models, econometrics, and machine learning.
• Background in industrial organization, mechanism/market design, or structural model estimation
• Experience at the intersection of economics and operations research, particularly in supply chain, logistics, or marketplace settings.
• Demonstrated ability to leverage large datasets and economic models to drive organizational impact and change in a private or public sector context.
• Experience with production-grade languages (e.g., Java or C++) in addition to scripting/analysis tools.
• Ability to identify and successfully pitch the value of new ideas to business leaders.
• Proven ability to work effectively across product, engineering, and science teams by thinking strategically, earning trust while staying on top of tactical execution with relentlessly high standards.

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, Bellevue - 189,400.00 - 256,200.00 USD annually

How we rate this

Principal Economist, Fulfillment by Amazon at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Economist, Fulfillment by Amazon is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $189k-$256k a year.
The role is based in US, WA, Bellevue.
The job was posted on August 21, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Econometric ModelingMarket DesignCausal InferenceSupply Chain OptimizationMachine learningGenAI

Questions you could be asked

Tell me about a project where econometric modeling was part of your work. What did you do?
Tell me about a project where market design was part of your work. What did you do?
Tell me about a project where causal inference was part of your work. What did you do?
Tell me about a project where supply chain optimization was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Econometric Modeling, Market Design, Causal Inference, Supply Chain Optimization, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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