Description

Amazon Stores-Advertising Science Team is looking for an Economist to help translate cutting-edge causal inference, structural methods, and machine learning research into production solutions. The individual will have the opportunity to shape the technical and strategic vision of team projects, drive implementation of scientific models in production at scale, and deliver measurable business impact via cross-team and cross-functional collaboration.

The mission of the Stores-Advertising Science Team is to foster value-generating flywheel for Amazon shoppers and sellers. We specialize in measuring and modeling the short- and long-term behavior of shoppers and sellers in relation to advertising and marketing, using state-of-the-art econometric and machine learning techniques. With a broad mandate to experiment and innovate, we are constantly advancing our scientific methodology and infrastructure to accelerate learnings and scale impact.

Key job responsibilities

• Develop econometric and machine learning models to optimize advertising and marketing strategies on behalf of our customers

• Design, implement (in collaboration with engineers), 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 drive improvement of scientific models 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

We are open to hiring candidates to work out of one of the following locations:

Los Angeles, CA, USA | New York City, NY, USA | Seattle, WA, USA

Basic Qualifications

• PhD in economics or equivalent

• 2+ years of industry, consulting, government, or academic research experience

Preferred Qualifications

• Expertise in reduced form causal analysis/modeling/experimental design

• Hands-on experience with production models

• Proficiency in Python, PySpark, SQL

• Excellent writing skills for both technical and business audiences

• Hands-on experience across machine learning domains

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 https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $124,100/year in our lowest geographic market up to $212,800/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.