Description
The Advertising Economics team is looking for a PhD economist to lead high-impact science projects using state of the art econometrics and ML to maximize the impact of our Ad Sales investments.
In this role, you will deliver on mission critical goals that affects the high-level strategy of our ads business. Therefore, the ability to communicate effectively with both technical and non-technical audiences is essential to the candidate’s success. On the methodological front, we are particularly interested in candidates with a strong causal inference background but who also bring complementary skills such as empirical IO, machine learning, or experience working with unstructured audio/text data.
Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for our Advertising stakeholders. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership.
Key job responsibilities
Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers. Influence key business and product decisions based on insights from models you develop.
Identify and pitch new opportunities to leadership that are suggested by the data.
Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions.
Design, execute, and analyze experiments (A/B testing etc.) to evaluate different strategies.
Work with other scientists, software developers, and product partners to implement your solutions.
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.
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 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.
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.
Company - Amazon.com Services LLC - A57
Job ID: A2953197
