We are looking for an Economist to join the Monetization team in Marketplace Intelligence with a broad mandate to experiment and innovate to grow Sponsored Products. As an Economist within the Monetization team, you will build a foundational econometrics used to help various Sponsored Products initiatives. You will work closely with a team of applied and data scientists, and business and software development teams. You will propose and estimate novel statistical and econometric models at the scientific frontier of time series statistics, structural econometrics, and machine learning. You will directly inform large-scale strategic decisions about how to improve the Sponsored Products marketplace, in partnership with senior scientific and business leaders. You will have opportunity to design, run and analyze A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.
Key job responsibilities
- Build causal inference modeling to evaluate the effects of policy changes on advertiser behaviors and business metrics
- Analyze how advertisers, shoppers and marketplace outcomes are impacted by variations in growth strategies
- Design experiments to measure pilot programs and support scaling-up effort
- Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Run A/B experiments, gather data, and perform statistical analysis.
- Research new and innovative econometrics approaches.
- Recruit Scientists to the team and provide mentorship.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED 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 in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County 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 $136,000/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.