Senior Data Scientist in Ad Tech

<p><span><strong>We are Teads</strong></span></p> <p><span>Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand. The new Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. </span></p> <p><span><strong>About the opportunity </strong></span></p> <p><span>We are looking for a Data Scientist with <strong>deep experience in the advertising industry</strong> to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.</span></p> <p><span><strong>What will you do?</strong></span></p> <p><span>As a <strong>Senior Data Scientist</strong>, your mission will be to:</span></p> <ul> <li><span>Stay on top of the state-of-the-art science and technology of large scale advertising systems</span></li> <li><span>Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.</span></li> <li><span>Work with teams of data scientists and machine learning engineers to identify investment opportunities</span></li> <li><span>Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment</span></li> <li><span>Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios</span></li> <li><span>Spend time experimenting with new approaches by yourself</span></li> <li><span>Follow industrial and academic research, occasionally publish at conferences</span></li> </ul> <p><span><strong>What will you bring to the team?</strong></span></p> <ul> <li><span><strong>Deep experience of the ad tech industry use of AI and data science</strong></span></li> <li><span>Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly complicated topics to expert audiences</span></li> <li><span>Strong problem solving skills, and deducing from specific problems wider range products</span></li> <li><span>True scientist skills: fast learner, curious, sense of details, rigorous</span></li> <li><span>Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …)</span></li> <li><span>Ability to read scientific articles, to analyze critically, and to implement as appropriate</span></li> <li><span>You are very mindful about your application architecture, performance, testing and maintainability and its overall quality</span></li> </ul> <p><span><strong>The team</strong></span></p> <ul> <li><span>The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers</span></li> <li><span>The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B</span></li> <li><span>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></li> </ul> <h2><span>We care about you:</span></h2> <ul> <li><span><strong>Security &amp; Savings</strong><span>: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).</span></span></li> <li><span><strong>Career Development</strong><span>: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).</span></span></li> <li><span><strong>Life Balance</strong><span>: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places.</span></span></li> <li><span><strong>Wellness:</strong><span> Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity &amp; Inclusion with internal &amp; external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).</span></span></li> </ul> <h2><span><strong>What are our recruitment process steps?</strong></span></h2> <span></span> <p><span><strong>Life at Teads</strong><strong> </strong></span></