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Economist, Cross-Channel Marketing

Economist, Cross-Channel Marketing

Job ID 
612133
Location 
US-WA-Seattle
Posted Date 
1/18/2018
Company 
Amazon.com Services, Inc.
Position Category 
Economics
Recruiting Team 
..

Job Description

The Amazon cross-channel marketing measurement and optimization team is looking for an economist to join us. The candidate will be responsible for measuring the effectiveness of marketing for Prime Video product and services across all media channels and using the insights to help stakeholders to optimize their cross-channel marketing spend and allocation. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods to both aggregate regional data and large amount of individual level data. The candidate should have strong communication skills to work closely with stakeholders to translate data-driven 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. The candidate needs to travel to London periodically to meet with the stakeholders in Europe.

Overall, the candidate’s 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
  • Bi-monthly travel to London to meet with stakeholders
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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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