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2,954 marketing jobs

3 months ago

Principal Economist, Ads Econ

Amazon Science

Seattle, WA (On-site)Full time$189K/yr – $282K/yr

3 months ago

Sr. Worldwide Partner GTM Specialist - Agentic AI, Data & AI GTM

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4 months ago

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4 months ago

Consumer Integrated Marketing, Creative Director

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4 months ago

Senior Events Integrated Marketing Manager

Microsoft

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Amazon Science

Principal Economist, Ads Econ

Seattle, WA (On-site)

$189K/yr – $282K/yrSenior Level10+ years expFull time

Posted 3 months ago

Top 1% of applicants do these two things.

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Job Summary

Own measurement science for ads at scale, combining econometrics with ML to inform bidding and product decisions.

Own design of large-scale experiments and causal models to quantify ad impact.
Must-have: PhD and 10+ years plus experience with big data and Python/R.
Standout: Leads a team and shapes a cross-functional science roadmap.

Job Description

Responsibilities

Lead the design and analysis of large-scale experiments to measure advertising effectiveness across Amazon's advertising products
Develop novel causal inference and econometric methodologies to solve attribution and incrementality measurement challenges at scale
Invent new optimization frameworks that translate measurement insights into actionable bidding, targeting, and budget allocation strategies for advertisers
Define the long-term science roadmap for ads measurement and optimization, identifying high-impact research directions and driving alignment across engineering, product, and science teams
Build and refine structural and reduced-form models that quantify the causal impact of advertising on consumer behavior, sales, and brand outcomes
Partner with engineering teams to operationalize econometric models into production systems serving millions of advertisers
Mentor and develop a team of economists and applied scientists, raising the bar on methodological rigor and scientific impact
Influence senior leadership through clear communication of complex economic concepts, shaping investment decisions and product strategy
Collaborate cross-functionally with product managers, engineers, and business leaders to translate business problems into well-defined economic questions with scalable solutions

Requirements

PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
10+ years in industry, consulting, government, or academic research
Experience with big data and machine learning or data science
Coding ability in a scripting language such as R or python or STATA

Preferred

Experience in developing and executing an analytic vision to solve business-relevant problems.
Experience in building analytic or scientific data products or solutions.
Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
Applicants with considerably more and broader, experience, are also strongly encouraged.
Strong track record in performing high-quality analysis of data at scale.

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

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Marketing Team

Marketing Roles Posted (Last 30 Days)

Responsibilities

Lead the design and analysis of large-scale experiments to measure advertising effectiveness across Amazon's advertising products
Develop novel causal inference and econometric methodologies to solve attribution and incrementality measurement challenges at scale
Invent new optimization frameworks that translate measurement insights into actionable bidding, targeting, and budget allocation strategies for advertisers
Define the long-term science roadmap for ads measurement and optimization, identifying high-impact research directions and driving alignment across engineering, product, and science teams
Build and refine structural and reduced-form models that quantify the causal impact of advertising on consumer behavior, sales, and brand outcomes
Partner with engineering teams to operationalize econometric models into production systems serving millions of advertisers
Mentor and develop a team of economists and applied scientists, raising the bar on methodological rigor and scientific impact
Influence senior leadership through clear communication of complex economic concepts, shaping investment decisions and product strategy
Collaborate cross-functionally with product managers, engineers, and business leaders to translate business problems into well-defined economic questions with scalable solutions

Requirements

PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
10+ years in industry, consulting, government, or academic research
Experience with big data and machine learning or data science
Coding ability in a scripting language such as R or python or STATA

Preferred

Experience in developing and executing an analytic vision to solve business-relevant problems.
Experience in building analytic or scientific data products or solutions.
Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
Applicants with considerably more and broader, experience, are also strongly encouraged.
Strong track record in performing high-quality analysis of data at scale.