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Economist, Cross-Channel Marketing

Economist, Cross-Channel Marketing

Job ID 
Posted Date 
Company Services, Inc.
Position Category 
Recruiting Team 

Job Description

The Amazon cross-channel marketing measurement and optimization team is looking for an economist to join our team. The candidate will be responsible for measuring the effectiveness of marketing for Amazon music products and services across all media channels and use the insights to help stakeholders optimize their cross-channel marketing spend and allocation. This role requires an individual with strong quantitative modeling skills and experience of applying statistical/machine learning, econometric, and experimental design methods to both aggregate regional data and large individual level datasets. The candidate needs to have strong communication skills to work closely with stakeholders and to translate data-based findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

Responsibilities include:

- Build econometric models and conduct statistical/machine learning analyses to measure the financial impact of cross channel marketing spend, and inform volume and mix of future spend

- Design and measure experiments

- Build scalable analytic solutions using state of the art tools based on large datasets
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

  • Ph.D. in economics or highly related finance field
  • Work experience in applied statistics, econometrics, or consulting
  • Experience in working with big datasets.
  • Experience in using one of Stata, R, or Python is required

Preferred Qualifications

  • Experience with consumer-level data analyses
  • Experience with marketing datasets
  • Experience with program evaluation methodologies such as propensity - score matching and synthetic control