Applied Science Manager, Ads Impact & AI

Amazon

Seattle (WA)

On-site

USD 184,000 - 249,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC is seeking an Applied Science Manager to lead the Ads Impact initiative, guiding a team of scientists to measure how advertising creates value for shoppers and selling partners. You will set the technical vision, design causal experiments, and translate findings into production-ready models.

You will hire and develop future science leaders, partnering with engineering and product teams to drive measurable business impact and strategic decisions across the organization.

Qualifications

  • 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

Responsibilities

  • Lead a team of scientists, setting the technical vision and science roadmap for ads impact measurement and optimization.
  • Design experiments to 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 decisions.

Skills

Applied research
Management experience
ML modeling
Causal inference
Programming: Java/C++/Python
NLP/IR analytics

Education

PhD or MS with 6+ yrs of applied research

Job description

Amazon.com Services LLC is seeking an Applied Science Manager to lead the Ads Impact initiative, guiding a team of scientists to measure how advertising creates value for shoppers and selling partners. You will set the technical vision, design causal experiments, and translate findings into production-ready models.

You will hire and develop future science leaders, partnering with engineering and product teams to drive measurable business impact and strategic decisions across the organization.

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