Senior Economist, Customer Engagement Technology

Amazon; Seattle (WA); On-site; USD 143,000 - 248,000; Full time

Job summary

A leading company is seeking a Senior Economist to join their Data and AI team. This role involves shaping data-driven strategies, analyzing customer interaction datasets, and implementing causal models to enhance customer experiences. The ideal candidate will have a PhD in Economics and extensive experience in econometric methods. You will collaborate with senior leaders and mentor team members while driving innovative solutions that impact business outcomes.

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Qualifications

• 5+ years of relevant scientific experience.
• Expertise in econometrics and advanced analytical techniques.

Responsibilities

• Lead causal inference methodologies on large-scale data.
• Design scalable solutions for complex business problems.
• Mentor scientists and serve as a technical resource.

Skills

Economic Theory

Quantitative Methods

Causal Analysis

Data Science

Education

PhD in Economics

Tools

R

Python

STATA

Job description

Senior Economist, Customer Engagement Technology

The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We are responsible for the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. Our team also develops and applies Generative Artificial Intelligence (GenAI), Agentic AI, Ontology, Knowledge Graph, and Natural Language Processing (NLP) to strengthen our foundational technology and improve customer and associate experiences.

As a Senior Economist, your expertise will be key in shaping data-driven strategies and addressing complex data challenges. You will analyze our extensive customer service interaction dataset using advanced econometric methods to develop causal models for proactive solutions that improve customer experiences. Your expertise in causal analysis will be crucial in understanding customer interaction behaviors, analyzing data patterns, and assessing their impacts.

A key focus of this role will be on causal econometrics, analyzing complex signals from customer interactions, purchasing patterns, and operational processes. These signals present challenges due to their complexity, requiring sophisticated feature engineering to address evolving trends. Your economic reasoning will drive decision-making as you lead cross-functional projects and identify innovative opportunities. You'll design and implement econometric models, making sound methodological choices and developing validated solutions. This role combines practical execution with strategic direction, from data exploration to deployment. Your impact will extend beyond technical work, as you present strategic narratives to leadership, influence across functions, build consensus, and articulate the measurable impact of solutions.


Key job responsibilities
- Lead building and implementing causal inference methodologies on large-scale data to create business and customer impact
- Design simple, scalable solutions for complex business problems with measurable results
- Partner with senior leaders to translate economic and data science insights into actions
- Build consensus across teams and effectively manage diverse stakeholder perspectives
- Mentor scientists and serve as technical resource for economic methodologies and data science.

A day in the life
As an Economist in the Data and AI team, you will combine deep business understanding with hands-on problem-solving in econometric analysis and causal inference. Your expertise will be vital in tackling complex economic initiatives, ensuring they align with customer needs and business objectives while translating requirements into practical data-driven solutions. You will design and enhance econometric models working collaboratively across functions. Your role involves providing analytical leadership and mentorship to team members, fostering economic reasoning and promoting rigorous analytical solutions. You will ensure data quality standards, optimize model performance, and generate actionable insights from vast amounts of information. Through your contributions, you will resolve complex methodological challenges, advance critical economic analyses, and conceive new approaches to improve how we utilize data to transform customer and associate experiences.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We are responsible for the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. Our team also develops and applies Generative Artificial Intelligence (GenAI), Agentic AI, Ontology, Knowledge Graph, and Natural Language Processing (NLP) to strengthen our foundational technology and improve customer and associate experiences.

BASIC QUALIFICATIONS

- PhD in economics or equivalent
- 5+ years of relevant scientific experience, with expertise in economic theory, quantitative methods, and/or advanced analytical techniques (including econometrics, program evaluation, data science, forecasting, time series analysis, panel data modeling, and high-dimensional problem-solving)

PREFERRED QUALIFICATIONS

- Experience in analytics and applied economics
- Experience in building statistical models using R, Python, STATA, or a related software
- 5+ yrs. of relevant, broad research science experience after PhD degree or equivalent.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: March 10, 2025 (Updated about 6 hours ago)

Posted: May 13, 2025 (Updated about 10 hours ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.