Principal Applied Scientist, Ads Intelligence & Strategy

Amazon Inc.; Omaha (NE); On-site; USD 229,000 - 309,000; Full time

Job summary

Amazon.com Services LLC is seeking a Principal Applied Scientist for the FAIM team to invent models that help advertisers achieve objectives and move models from research to production at Amazon scale. You will shape long-term scientific direction for agent evaluations and partner with Ads teams to raise the bar on experimentation and measurement.

The role emphasizes cross-team collaboration, defining a concrete science roadmap, and delivering scalable optimization for ad budgets across the

Qualifications

• 5+ years of hands-on work in predictive modeling and analysis experience
• Experience working in predictive modeling and analysis
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience programming in Java, C++, Python or related language
• Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
• 10+ years of relevant work in industry or academia experience
• Knowledge of problem solving, algorithm design and complexity analysis
• Experience creating novel algorithms and advancing the state of the art
• Have peer-reviewed scientific contributions in premier journals and conferences

Responsibilities

• Own the science vision for developing evaluations of the Ads Agent
• Partner with scientists from across Ads to develop best practices for evaluating agent performance both online and offline
• Raise the science bar for all agent evaluations developed in Ads.
• Own establishing a data driven foundation for making decisions about when new features are ready to launch in Ads Agent.
• Define the long-term scientific vision for agent evaluations in Ads
• Translate ambiguous advertiser needs and competing objectives into a concrete science roadmap.
• Invent, prototype, and productionize machine learning and optimization solutions for joint budget allocation across sponsored ad products, spanning the shopper journey from awareness to purchase.
• Develop rigorous approaches to incrementality measurement and long-term-sales modeling that ground optimization in true advertiser value.
• Design and lead large-scale experiments and analyses to validate hypotheses and guide product direction.
• Partner closely with engineering and product to define technical contracts, data schemas, and serving systems that carry models into production.
• Raise the technical bar across science and engineering through mentorship, design reviews, and hands-on collaboration.
• Grow scientific talent and publish impactful research internally and at top-tier venues.

Skills

Predictive modeling

Data analysis

Java

C++

Python

Education

PhD in Electrical Engineering, Computer Science, Mathematics, or related field

Job description

Amazon.com Services LLC is seeking a Principal Applied Scientist for the FAIM team to invent models that help advertisers achieve objectives and move models from research to production at Amazon scale. You will shape long-term scientific direction for agent evaluations and partner with Ads teams to raise the bar on experimentation and measurement.

The role emphasizes cross-team collaboration, defining a concrete science roadmap, and delivering scalable optimization for ad budgets across the