Senior Economist

Arlington, VA (Unknown)

$175K/yr – $237K/yrSenior LevelFull time

Posted 3 months ago

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Job Summary

Lead brand measurement and causal-inference work at AWS to quantify upper-funnel impact on revenue and guide investment decisions.

  • Own design and build a measurement framework for AWS brand and upper-funnel investment
  • Must-have: PhD in economics or equivalent
  • Standout: Collaborate with data scientists and engineers to operationalize brand models

Job Description

Responsibilities

  • Design and build a rigorous measurement framework for brand and upper-funnel marketing investment at AWS
  • Develop econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue
  • Quantify the optimal level of brand investment and the returns relative to other marketing channels
  • Connect upper-funnel brand metrics (e.g., aided/unaided awareness, consideration, salience) to downstream business outcomes including revenue and customer lifetime value
  • Apply causal inference methods suited to long-horizon, slow-moving brand effects — distinguishing these from the shorter feedback loops of performance marketing
  • Partner with marketing leaders, finance, and strategy teams to translate findings into actionable investment recommendations
  • Consult with business stakeholders to frame brand investment tradeoffs and communicate results with clarity and credibility
  • Stay current on brand measurement literature and bring best practices from academia, consulting, and industry into AWS's approach
  • Collaborate with data scientists and engineers to operationalize models and integrate brand measurement into existing marketing science products

Requirements

  • PhD in economics or equivalent

Preferred

  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research
  • Experience managing and measuring marketing performance in various channels
  • Experience presenting to senior leadership
  • Knowledge of modern machine learning methods and their integration with econometric approaches

Benefits

  • 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
  • parental leave
  • Learn more about our benefits at https://amazon.jobs/en/benefits
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Amazon Web Services

For almost 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. Amazon Web Services has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones (AZs) within 25 geographic regions, with announced plans for 21 more Availability Zones and seven more Amazon Web Services regions. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust Amazon Web Services to power their infrastructure, become more agile, and lower costs.

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