Economist II

Amazon is seeking an innovative and talented Economist to join our Stores Ads Science team. In this role, you will play a crucial role in developing and implementing advanced econometrics and machine-learning solutions to solve complex business problems in a highly ambiguous problem space at the intersection of Amazon’s Stores and Advertising businesses, and deliver measurable business impacts via cross-team and cross-functional collaboration. This position requires a blend of technical expertise, leadership skills, and the ability to drive projects from conception to production. Amazon is investing heavily in building a world-class advertising business. Our advertising products are strategically important to Amazon’s Retail and Marketplace businesses for driving long-term growth. The Stores Ads Science team is dedicated to identifying and capitalizing on opportunities that jointly optimize Amazon's Stores and Advertising businesses. We focus on leveraging advertising signals to enhance Stores' decision-making processes and vice versa, ultimately driving long-term economic value for shoppers, sellers/vendors, and Amazon. We collaborate closely with tech and product teams across Stores and Advertising, continuously advancing experimentation methodologies to accelerate scientific development and quantify business impacts. Our team is characterized by high motivation, strong collaboration, and an entrepreneurial spirit with a bias for action.

Key job responsibilities

• Develop economic theory and deliver econometrics and machine learning models at scale.
• Design, conduct, and analyze complex experiments to validate hypotheses and quantify the impact of new algorithms and features.
• Collaborate with cross-functional teams to translate research into scalable, production-ready solutions.
• Drive data-driven decision making to optimize Amazon's Stores and Advertising ecosystem.
• Write effective business narratives and scientific papers to communicate to both business and technical audiences.

Basic qualifications

• 2+ years of industry, consulting, government, or academic research experience.
• Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS.
• Experience working with very large, disparate data sets and big data tools such as Spark.
• Experience in reduce form causal analysis/modeling/experimental design.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.