Applied Science Manager, Stores-Ads Science

Seattle, WA (On-site)

$184K/yr – $249K/yrManagerFull time

Posted 2 months ago

Job Summary

Lead the research program for ads impact measurement, guiding experiments, causal analysis, and production-ready optimization while communicating findings to senior leadership.

  • Own the science roadmap and drive cross-functional alignment
  • Build and mentor the next generation of science leaders

Job Description

Responsibilities

  • lead a team of scientists, setting the technical vision and science roadmap for ads impact measurement and optimization.
  • design experiments that identify the causal mechanisms through which advertising drives shopper engagement, advertiser value, and marketplace outcomes.
  • develop optimization algorithms that integrate these causal signals into production and business decision-making, in close partnership with engineering and product teams across the organization.
  • lead the research and communicate findings and recommendations to senior leadership through written narratives that connect technical science to business strategy.
  • hire and develop future science leaders, think strategically, set ambitious roadmaps in highly ambiguous problem spaces, and foster a culture that values both intellectual depth and production impact.
  • work cross-functionally, influencing across organizational boundaries to drive alignment on complex, multi-sided tradeoffs.

Requirements

  • 4+ years of applied research experience
  • 3+ years of scientists or machine learning engineers management experience
  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Knowledge of ML, NLP, Information Retrieval and Analytics
  • Experience programming in Java, C++, Python or related language

Preferred

  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
  • Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows

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 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

Salaries

Posted range

$184K/yr – $249K/yr

Taken straight from the job posting.

See all Amazon Science salaries

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Paid
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Headcount Trend

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Applied Science Manager, Stores-Ads Science

Amazon Science · Seattle, WA · On-site