Amazon Stores Ads Science team is looking for an Economist to help translate cutting-edge econometrics and machine learning research into production solutions. The individual will have the opportunity to shape the technical and strategic vision of 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.

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 the long-term growth. The mission of the Stores Ads Science team is to identify opportunities to jointly optimize Amazon’s Stores and Advertising business, by enhancing the usage of advertising signals in Stores’ decision-making and vice versa to drive the long-term economic value to shoppers, sellers/vendors, and Amazon. Some of our work include measuring ads impact and shopping content incrementality to improve shopper experience, developing the science of explaining seller/vendor inter-related decisions between Stores and Ads (e.g.: pricing, Sponsored Ads participation) to optimize fees and incentives, and making Stores’ traffic acquisition strategies aware of shoppers’ and advertisers’ onsite advertising behavior.

We partner closely with tech and product teams across Stores and Advertising, and are constantly advancing experimentation methodology to accelerate science development and quantify business impacts. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action.

Key job responsibilities
- Develop economic theory and deliver econometrics and machine learning models to unlock the new opportunities for jointly optimizing sellers’/vendors’ decision-making between Stores and Ads
- Design, execute, and analyze experiments to verify the efficacy of different scientific solutions in production
- Partner with cross-team technical contributors (scientists, software engineers, product managers) to implement the solution in production
- Write effective business narratives and scientific papers to communicate to both business and technical audiences, including the most senior leaders in the company

- PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field

- Experience applying theoretical models in an applied environment
- Experience building machine learning models or developing algorithms for business application
- Experience with programming languages such as Python, Java, C++
- Experience with dynamic structural modeling and macro analysis

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. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.