Economist, Ads Econ
New York, NYJob$157–213K/yrSeen 4 days agoSeen in employer's feed 4 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Amazon Advertising uses econometrics, machine learning, and data science to build products and guide business strategy. The Economist will develop econometric solutions, communicate data insights and scientific vision, and execute strategic projects. The role supports advertising optimization, business and product decisions, large-scale analysis, model productionization, and experimentation affecting hundreds of millions of customers.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Our products are 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.
We are looking for an experienced Economist with a deep passion for building econometric solutions and the ability to communicate data insights and scientific vision to execute on strategic projects.
Key job responsibilities
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Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers.
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Influence key business and product decisions based on insights from models you develop.
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Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
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Work closely with software engineers on detailed requirements to productionize the models you build.
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Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
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Work with other scientists, software developers, and product partners to implement your solutions.
Basic Qualifications
- PhD in economics or equivalent
Preferred Qualifications
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2+ years of industry, consulting, government, or academic research experience
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Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
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Experience in prediction and forecasting in a research or industrial environment
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Experience with handling of large datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
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
How this job compares
Set against the 2,034 open Data Science jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$157–213K/yr
- New York median$162–246K/yr175 salary ranges
- US median$133–232K/yr1,475 salary ranges
This range's midpoint, $185K, is 9% below the New York median midpoint ($203K) — in the middle half of Data Science salary ranges in New York.
- Openings
- Olive Jobs lists 214 open Data Science jobs in New York and 2,034 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- JPMorgan Chase19 open
- Capital One14 open
- Accenture11 open
- Experience
- Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,661 postings).
- Education
- This posting asks for a doctorate or professional degree; 46 of the 2,034 open Data Science jobs (2%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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