Manager, Senior Economist, Marketing Measurement

Seattle, WA (On-site)

$175K/yr – $237K/yrSenior Level5+ years expFull time

Posted 13 days ago

Job Summary

Own and lead econometric MMM model development, guiding a diverse science team, and translating experimental evidence into actionable marketing recommendations.

  • Own developing the next generation of Causal Marketing-Mix-Media models.
  • Coach economists, data scientists, and applied scientists to scale impact.
  • Interface credibly between technical teams and business stakeholders.

Job Description

Responsibilities

  • In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility.
  • You will own developing the next generation of Causal Marketing-Mix-Media (MMM) models combining experimental evidence with observational econometric techniques.
  • Your solution will deliver to business leaders accurate and actionable incrementality estimates and recommendations to optimize their marketing portfolio.
  • As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders.
  • You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact.
  • You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work.

Requirements

  • PhD in economics or equivalent
  • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
  • 5+ Years of experience building large-scale Causal Inference and AI solutions

Preferred

  • Experience in applied economic analysis and with big data and machine learning or data science
  • Experience building and growing teams of economists or machine learning scientists
  • 5+ years of people management experience
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
  • Experience with scripting language (e.g., Python, Java, or R)
  • 5+ years of applied economics or statistics experience

Benefits

  • 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.
  • 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.
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Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Founded in 1901
Seattle, WA, US
728K employees (58,003 in marketing)

Salaries

Posted range

$175K/yr – $237K/yr

Taken straight from the job posting.

See all Amazon salaries

Funding

Total Funding
$8.1B
Last Raise
$8B
Post IPO Debt, 3 years ago

Funding History

  • Jan 2023
    Post IPO Debt • $8B
  • Jul 2001
    Post IPO Equity • $100M
  • Jun 1996
    Series A • $8M

Traffic Signals

Monthly Visitors
3M
Monthly Google Ads Budget
$281
Traffic Source Mix
Search
46.3%
Direct
40.5%
Referral
9.1%
Social
2.6%
Paid
1.3%

Headcount Trend

Current headcount: ~765.9K

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Manager, Senior Economist, Marketing Measurement

Amazon · Seattle, WA · On-site