Principal Applied Scientist, Ads Optimization, Full Funnel Agentic Intelligence and Models

Saved job description

As a Principal Applied Scientist for the Full-Funnel Agentic Campaign optimization team, you will invent the models that jointly allocate budget across sponsored ad products to maximize advertiser outcomes and long-term customer value.

This is a rare charter to build foundational optimization science where little exists today, spanning campaign recommendation, cross-product budget allocation, incrementality measurement, and long-term-sales modeling. You will set technical direction for a growing team, partner with engineering and product to take models from research to production at Amazon scale, and directly move advertiser ROAS and new-to-brand growth.

- Own the science vision for full-funnel campaign optimization end to end

- Invent models for joint budget allocation, incrementality, and long-term value

- Take innovations from prototype to production serving live advertiser campaigns

- Raise the technical bar across scientists and engineers

Key job responsibilities

- Define the long-term scientific vision for full-funnel campaign optimization, translating 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.

A day in the life

You move between deep technical work and org-wide influence. A morning might be spent deriving a budget-allocation formulation with two scientists, then reviewing an incrementality experiment design over an advertiser segment. Afternoons bring roadmap alignment with product and engineering partners, a design review that raises the bar on a teammate's model, and a working session on taking a prototype to production. Your customers are Amazon advertisers and their shoppers; your stakeholders span applied science, engineering, and product leadership across the Ads full-funnel organization.

About the team

We build the optimization science behind full-funnel agentic advertising on Amazon: how campaigns are recommended, and how budget is allocated across sponsored ad products to grow advertiser outcomes and long-term customer value. Our mission is to make full-funnel advertising work automatically and measurably for every advertiser, from foundational research through production systems serving live campaigns. We are a science-driven, high-ownership team that values rigorous experimentation, invention where no proven approach exists yet, and close partnership with engineering and product.

Requirements: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field

- 5+ years of hands-on experience in predictive modeling and analysis

- Experience distilling informal customer requirements into problem definitions while dealing with ambiguity and competing objectives

- Experience programming in Java, C++, Python, or related language

- Experience leading experienced scientists, as well as a record of developing junior members from academia or industry into a career track in a business environment