Applied Science Manager, Amazon Digital Advertising

Lead a team of scientists who measure what matters—the real‑world impact of Amazon’s marketing at billion‑dollar scale. Amazon Advertising is one of Amazon’s fastest‑growing lines of business, and the measurement science team quantifies the impact of marketing that drives customers to discover and engage with Amazon’s products and services. The role will set strategic direction, drive initiatives to make smarter marketing decisions, and improve advertising relevance by building sophisticated decision engines, integrating petabyte‑scale retail data, and delivering causal insights that benefit both Amazon’s own marketing and the broader Amazon Ads ecosystem.

Responsibilities

• Lead, hire, mentor, and develop a team of scientists and engineers, fostering a culture of innovation, scientific rigor, and operational excellence.
• Set the technical vision and roadmap for the team’s measurement and modeling initiatives, aligning with business priorities.
• Partner with senior leadership to define measurement strategies and translate business needs into science roadmaps and deliverables.
• Guide the team in applying ML, statistics, and econometrics to develop, analyze, and productionize prototype models.
• Drive the design and analysis of large‑scale online experiments to validate models and measure impact.
• Foster collaboration across science teams through peer‑review processes, publishing research internally and at industry conferences.
• Establish scalable, efficient, and automated processes for large‑scale model development, validation, and implementation.

Basic Qualifications

• PhD, or Master’s degree and 6+ years of applied research experience.
• 3+ years of scientists or machine‑learning‑engineer management experience.
• 4+ years of applied research experience.
• 3+ years of building machine‑learning models for business‑application experience.
• Knowledge of ML, NLP, information retrieval, and analytics.
• Experience programming in Java, C++, Python, or a related language.

Preferred Qualifications

• Experience building complex software systems—especially involving deep learning, machine learning, and computer vision—that have been successfully delivered to customers.
• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and convey technical designs.
• Domain expertise in quantitative marketing or advertising measurement.

Compensation & Benefits

Base salary ranges (USD annually):

• New York, NY: $202,200 – $273,600
• Seattle, WA: $183,800 – $248,700

The Amazon package includes sign‑on payments, restricted stock units (RSUs), and comprehensive benefits such as:

• Health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional supplemental life plans.
• Employee Assistance Program (EAP), mental‑health support, medical advice line, flexible spending accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.