Sr. Economist, Amazon Customer Service

Amazon is hiring a Sr. Economist, Amazon Customer Service in Seattle, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this customer service role Works on AI ●●●○: the daily work is on AI products, without building the model.
Pay on this posting starts 62% higher than the typical customer service posting on Level.
The posting mentions Python, econometrics and data analysis 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

Apply economic methods and machine learning models to optimize customer service operations and evaluate AI/ML product launches.

Python

econometricsdata-analysismachine-learningexperimentation

Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits within CS DI and contributes to the CS knowledge base and decision frameworks.

CS Economics seeks economists to apply economic methods to solve business problems. The ideal candidate will work with engineers and applied scientists to design models that leverage large scale and unstructured data, design scalable agents for non-tech CS partners to understand the impact of their actions, and propose mechanism designs to robustly match customers to our services. CS Economics is looking for optimistic critical-thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.
Ideal candidates enjoy working in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.

Key job responsibilities
- Design and conduct rigorous evaluations of CS actions
- Develop experiments to evaluate product launches
- Communicate complex findings to business stakeholders in clear, actionable terms
- Work with engineering teams to develop scalable tools that automate and streamline evaluation processes

A day in the life
Work with teammates to apply economic methods to business problems, e.g., identify the appropriate research question and identification strategy, write code to estimate heterogeneous treatment effects or conduct experiment analysis, write and present a document with findings to business leaders. We collaborate with partner teams within and outside of CS throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.

About the team
Amazon Customer Service (CS) Economics provides estimates and measures of the causal impact of CS actions on costs and benefits. We build agents and guide leadership to establish processes to scale valid experimentation, causal inference, and mechanism design.

Basic qualifications

- PhD in economics or equivalent

Preferred qualifications

- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience in industry, consulting, government or academic research

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 - 159,200.00 - 215,300.00 USD annually

How we rate this

Sr. Economist, Amazon Customer Service 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

Sr. Economist, Amazon Customer Service is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $159k-$215k a year.
The role is based in US, WA, Seattle.
The job was posted on July 30, 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

EconometricsData AnalysisMachine learningExperimentationPython

Also common in customer service jobs at this level

AI agents LLM Generative AI SQL Machine learning AWS

Pay

This job starts at: $159k
Typical customer service job: $98k

This posting starts 62% above the typical customer service job. See customer service jobs

Questions you could be asked

Tell me about a project where econometrics was part of your work. What did you do?
Tell me about a project where data analysis 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?
Tell me about a project where experimentation was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Econometrics, Data Analysis, Machine learning, Experimentation, and Python. 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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