Senior economist, international seller services

Join Amazon's International Seller Services (ISS) Economics team and shape how millions of sellers succeed in the worldwide marketplace through causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real business impact, building the frameworks and measurement systems that define the future of Amazon's seller services.

Key job responsibilities

In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility. You will own developing the economics charter in ISS combining scientific methods with business needs. Your solution will deliver to business leaders accurate and actionable insights and recommendations to optimize and expand their business.

As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders. You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact.

You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work.

About the team

The International Seller Services (ISS) Economics team shapes Amazon's global seller ecosystem through sophisticated economic analysis and data-driven insights. Our mission is to transform how Amazon empowers millions of sellers to succeed in the worldwide digital marketplace.

Basic Qualifications:

• PhD in economics or equivalent

Preferred Qualifications:

• Experience in analytics and applied economics
• Experience in building statistical models using R, Python, STATA, or a related software
• Experience in applied economic analysis and with big data and machine learning or data science
• Experience building and growing teams of economists or machine learning scientists
• 5+ years of people management experience
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with scripting language (e.g., Python, Java, or R)
• 7+ years of applied economics or statistics experience

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.