<div class="content-intro"><p><strong>About Teads </strong></p> <p>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.</p> <p>At Teads, we believe <strong>your impact travels further</strong>. 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<a href="https://www.teads.com/"> </a><a href="http://www.teads.com">www.teads.com</a>.</p></div><div> <h2><span style="font-size: 12pt;">Our main Engineering challenges at Teads</span></h2> <ul> <li><span style="font-size: 12pt;">Build <strong>efficient and easy-to-use web products</strong> used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.</span></li> <li><span style="font-size: 12pt;"><strong>Rich and diverse tech stack and system architecture</strong> to optimize for <strong>performance, scalability, resiliency</strong>, and cost efficiency. We use mostly Scala and TypeScript, among others.</span></li> <li><span style="font-size: 12pt;">Working in a very <strong>high-traffic</strong> 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).</span></li> <li><span style="font-size: 12pt;">Management of <strong>large datasets</strong> with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).</span></li> <li><span style="font-size: 12pt;">A fast-changing environment where we continuously <strong>collaborate with Product teams</strong> and constantly adapt our Cloud infrastructure for <strong>new features and Products</strong>.</span></li> <li><span style="font-size: 12pt;">Bring a wide diversity of profiles to the same level of quality and knowledge</span></li> <li><span style="font-size: 12pt;">Work in an international environment with offices located in Israel, Slovenia and France.</span></li> </ul> </div> <h2><span style="font-size: 12pt;"><strong>About the opportunity </strong></span></h2> <p><span style="font-size: 12pt;">We are looking for a <strong>Senior</strong> <strong>Data Scientist</strong> to join a team of applied research.</span></p> <p style="line-height: 1.2;"><span style="font-size: 12pt;">The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers. </span><br><span style="font-size: 12pt;">The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. </span><br><span style="font-size: 12pt;">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.</span></p> <h2><span style="font-size: 12pt;"><strong>What will you do?</strong></span></h2> <p><span style="font-size: 12pt;">As a <strong>Data Scientist</strong>, your mission will be to:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Innovate at Scale:</strong> Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Bridge Research & Engineering:</strong> Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Own the Lifecycle:</strong> Lead the end-to-end process—from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Experiment Freely:</strong> Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.</span></li> </ul> <h2 id="EMGoffer-Whatyoubringtotheteam"><span style="font-size: 12pt;">What will you bring to the team?</span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>The Foundation:</strong> An advanced degree (MSc/PhD) in a quantitative field or equivalent "in-the-trenches" industry experience.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>The Toolkit:</strong> +8 years of experience in applied researc