Economist, Ads Measurement Science

Amazon Inc.; New York (NY); Hybrid; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Mental health support

Job summary

Amazon.com Services LLC is hiring an Economist on the Ads Measurement Science team. You will design, implement, and validate large-scale causal inference methodologies to quantify ad impact across online and offline sales, and drive actionable insights for advertisers.

You will communicate results to science and business leaders, mentor junior scientists, and contribute to hiring efforts while collaborating with engineers to deploy solutions in production.

Qualifications

• PhD in economics or equivalent.
• Experience in data mining (SQL, ETL, data warehouse) in a business environment with large-scale datasets.
• Experience implementing modern machine-learning methods (e.g., boosted trees, random forests, neural networks).
• Experience in applied economics areas such as causal analysis, forecasting, or behavioral economics.

Responsibilities

• Leverage causal inference to develop robust ads measurement solutions.
• Disambiguate problems to propose evaluation frameworks and success criteria.
• Write high quality technical documents and publish results.
• Partner with other scientists to deliver large multi-faceted projects.
• Share and publish works with the broader scientific community through meetings and conferences.
• Communicate results clearly to technical and non-technical audiences.

Skills

Causal inference

Python

SQL/ETL

ML methods

Ad industry experience

Education

PhD in economics

Tools

SQL

Data warehouses

Python scripting

ETL pipelines

Job description

Job ID: 10473237 | Amazon.com Services LLC

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. We are hiring an Economist on the team to develop the next generation of incrementality measurement products, capturing the effect of advertising in driving sales as well as the effects of measurement tools on advertiser engagement with Amazon. As an Economist on the team, you will lead the design, implementation, and validation of large-scale causal inference methodologies to capture these properties. You will communicate your results with science and business leaders, and partner with other scientists and engineers to carry solutions into production. Mentor more junior scientists and participate in the hiring process.

Key job responsibilities

• Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions
• Disambiguate problems to propose clear evaluation frameworks and success criteria
• Work autonomously and write high quality technical documents
• Partner closely with other scientists to deliver large, multi-faceted technical projects
• Share and publish works with the broader scientific community through meetings and conferences
• Communicate clearly to both technical and non-technical audiences and leaders
• Contribute new ideas that shape the direction of the team's work

Basic Qualifications

• PhD in economics or equivalent

Preferred Qualifications

• 2+ years of industry, consulting, government, or academic research experience
• Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
• Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
• Experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, hazard models, health and insurance economics, education economics, labor economics, and behavioral economics, designing and administering large-scale social science survey
• Knowledge of and proficiency in the use of Python scripting language
• Experience in the advertising industry or closely related problems.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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.

Location: ES, Community of Madrid, Madrid

USA, NY, New York - 157,300.00 - 212,800.00 USD annually