Job ID: 10395023 | Amazon.com Services LLC
The AdsEcon Team within Digicon is looking for an experienced PhD economist. You will lead science projects using cutting edge econometrics and machine learning to advance science especially behind our advertising business. 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 all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership.
Location could be Seattle, Los Angeles, or New York City.
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 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 large datasets
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Culver City - 136,000.00 - 184,000.00 USD annually
USA, NY, New York - 157,300.00 - 212,800.00 USD annually
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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