Staff Applied Scientist (Hiring Immediately)

The Trade Desk
London

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.

Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.

The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.

Our work spans three interconnected areas:

  • Marketplace Execution: building the control systems, supply prediction models, and decisioning logic that enable buyers to execute their customized strategies efficiently and at scale.
  • Marketplace Curation: developing recommendation systems and curation frameworks that help buyers construct customized inventory strategies balancing audience relevance, publisher quality, and scale.
  • Inventory Science: designing the measurement frameworks and causal methods that quantify the impact of marketplace decisions on advertiser outcomes, and translate complex trade-offs into actionable insight .

Responsibilities

  • Build and maintain control systems that dynamically allocate ad budgets across sell-side partners based on quality signals and performance targets.
  • Design and analyze experiments using causal inference methods to measure the impact of inventory decisions on advertiser KPIs, and develop the metrics that make those trade-offs visible and actionable.
  • Build the recommendation systems and curation frameworks that help buyers find supply that reaches their target audiences at scale and delivers on their campaign outcomes.
  • Develop time series models to anticipate supply volume shifts and help buyers and partners plan accordingly.
  • Partner with engineering, product, and business teams to translate research into scalable, production-ready systems that improve marketplace value for buyers and sellers.
  • Define the applied science roadmap for the team — identifying high-impact problems, scoping solutions end-to-end, and driving projects from research through production.

Who You Are

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Posted 2026-10-01

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