Amazon

DESCRIPTION

WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a skilled and driven Economist to develop empirical frameworks and causal inference models that shape how Amazon engages customers at scale through marketing.

In this role, you will work at the intersection of data science, product, and engineering across teams in the US and EU to evaluate the effectiveness of marketing interventions, optimize resource allocation, and inform strategy across the marketing funnel—from awareness to conversion. You will develop and own the design of econometric models and experiments that deliver actionable insights into customer behavior, campaign performance, pricing, and channel efficiency.

You are expected to independently frame ambiguous business problems, construct rigorous economic models, and validate them using both observational and experimental data. You will contribute directly to the development of scalable systems that automate decision-making, improve targeting, and maximize long-term customer value.

Success in this role requires a strong foundation in econometrics and statistics, a deep understanding of experimental design and causal inference methods, and the ability to clearly communicate results and recommendations to technical and non-technical stakeholders. You should demonstrate strong business judgment, a bias for action, and a commitment to delivering mechanisms—not just analysis—that scale.

Key job responsibilities

• Develop and implement econometric models to measure the impact of marketing strategies across the funnel (upper, mid, lower), including causal inference models for campaign attribution, incrementality, and ROI analysis.
• Design and execute experiments (e.g., A/B tests, geo experiments, synthetic controls) to validate hypotheses and inform high-impact decisions on targeting, channel mix, and messaging strategy.
• Own analytical workstreams independently, from problem formulation and data acquisition through model development and communication of results to stakeholders across science, product, and marketing.
• Translate economic findings into business action by delivering clear, decision-ready insights and scalable mechanisms that drive optimization of marketing operations and resource allocation.
• Collaborate with scientists, engineers, and PMs to integrate economic models into production systems, ensuring technical robustness and real-world applicability in high-scale environments.

About the team

The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds core technology for Amazon’s marketing funnel—from brand awareness to product discovery and conversion.

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 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.

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.