About Teads Teads is a leading omnichannel advertising platform building the future of digital advertising where quality content, trusted publishers, ambitious brands, and human creativity can thrive. Operating at true scale - processing 18 billion ad opportunities every single day - we connect global brands with a monthly reach of over 2.2 billion unique users. At Teads, we believe your impact travels further. We are a borderless team of 1,700+ innovators across 30+ countries who favor outcome over tenure, value trusted autonomy, and use predictive AI to amplify human ingenuity rather than replace it. We move at pace, tackle genuinely complex problems, and foster a high-accountability culture that stays genuinely human. If you are looking for room to build and meaningful scope, you belong here. Learn more at 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. We care about you - Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility … - Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office) - Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. #LI-Hybrid Life at Teads At Teads, we don’t just offer jobs. We blend creativity, technology, and cutting-edge data to shape the future of media. As a Teadster, you’ll work alongside smart humans, collaborate with meaningful brands, and leverage advanced AI and automation to redefine how advertising works in a transparent, privacy-first world. We are builders, innovators, and future-thinkers. If you are excited by the evolution of technology and ready to embrace the future of AI-driven media, you belong here. Why Join Us? - A New Era of Media: We’ve merged two open internet category leaders, Outbrain and Teads to create a unified omnichannel platform. Together, we drive results from branding to performance across CTV, mobile, and web. - AI-Powered Innovation: We actively embrace AI and next-gen technology to solve complex industry challenges. We look for curious minds who aren't afraid to experiment, adapt, and lead the charge into the future of digital advertising. - Growth & High Performance: Our culture is dynamic, global, and built on excellence. We are committed to your success, offering the modern tools, mentorship, and development opportunities you need to thrive. - Belonging & Impact: We foster a welcoming, diverse environment where approachable, resourceful, and passionate people excel. Through our employee-led Employee Resource Groups (ERGs), you can actively drive change in areas like sustainability, women’s empowerment, charitable initiatives, and DE&I. Equal Opportunity Employer Teads is committed to diversity, equity, and inclusion at all stages of recruitment and employment. We celebrate unique perspectives and are dedicated to building a team that reflects the global communities we serve.

Data Scientist - IA & Data Science Team

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