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Principal Applied Scientist, Ads Optimization, FAIM

Job in Palo Alto, Santa Clara County, California, 94301, USA
Listing for: Amazon
Full Time position
Listed on 2026-08-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below

Principal Applied Scientist for Full-Funnel Campaign Optimization

As a Principal Applied Scientist for Full-Funnel Campaign Optimization, 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.

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 product ionize 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 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.

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