Manager, Senior Economist, Marketing Measurement at Amazon Science | Seattle, WA | $175K/yr – $237K/yr

Amazon Science

Manager, Senior Economist, Marketing Measurement

Seattle, WA (On-site)

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

Posted 3 months ago

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Job Summary

Drive a Science Manager role leading Economists and Scientists to build causal marketing-measurement models at scale to optimize Amazon marketing portfolios.

Own a cross-disciplinary program delivering MMM with experimental and observational data
Must-have: PhD in economics and 5+ years in large-scale causal inference
Standout: High-visibility impact on business decisions and leadership of a multidisciplinary team

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

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

Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science