Data Scientist - IA & Data Science Team

About Teads

Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.

For more information, visit www.teads.com.

Our main Engineering challenges at Teads

• Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.

• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency , and cost efficiency. We use mostly Scala and TypeScript, among others.

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).

• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).

• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products .

• Bring a wide diversity of profiles to the same level of quality and knowledge

• Work in an international environment with offices located in Israel, Slovenia and France.

About the opportunity

We are looking for a Data Scientist to join a team of applied research.

The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers. The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes.

What will you do?

As a Data Scientist , your mission will be to:

• Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.

• Bridge Research & Engineering: Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.

• Own the Lifecycle: Lead the end-to-end process—from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.

• Experiment Freely: Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.

What will you bring to the team?

• The Foundation: An advanced degree (MSc/PhD) in a quantitative field or equivalent "in-the-trenches" industry experience.

• The Toolkit: 4–5 years of experience in applied research, specifically deploying ML algorithms into high-throughput online environments.

• The Hybrid Edge: Strong software engineering fundamentals ; you don’t just design models, you understand how they fit into the code stack.

• Critical Thinking: The ability to dismantle a scientific paper , critique its methodology, and implement its core findings effectively.

• Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity.

Please submit your CV in English.

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