Senior Data Scientist

<h2><span><strong>We are Teads</strong></span></h2> <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> <h2><span><span><strong><span>About the opportunity </span></strong><br/></span></span></h2> <p><span><span>We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.</span></span></p> <h2><span><span>What will you do?</span></span></h2> <p><span><span>As a <strong>Senior</strong> </span><strong>Data Scientist</strong><span>, your mission will be to:</span></span></p> <ul> <li><span>Improve existing algorithms &amp; tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.</span></li> <li><span>Develop new algorithms &amp; new approaches to provide accurate predictions and drive new products by providing business insights.</span></li> <li><span>Implement your algorithms and models end to end.</span></li> <li><span>Collaborate with a variety of teams to develop services from design to production.</span></li> <li><span>Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).</span></li> <li><span>Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.</span></li> </ul> <h2 id="EMGoffer-Whatyoubringtotheteam"><span><span>What will you bring to the team?</span></span></h2> <p><span>Your skills and experiences:</span></p> <ul> <li><span>Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience complicated topics.</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, rigourous.</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>An appetite for Data Science applied to high-volumetry, low-latency topics.</span></li> <li><span>Ability to read scientific articles, to analyze critically, and to implement as appropriate.</span></li> <li><span>Good programming abilities.</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><span>Bonus points:</span></span></p> <ul> <li><span>Large-scale distributed systems, service oriented architecture.</span></li> <li><span>Previous experience with all or some of the elements of our Stack (we mainly use Scala, Spark, Python, Kafka, AWS, Jupyter notebooks).</span></li> <li><span>Knowledge in data engineering.</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><strong><span><span>What are our recruitment process steps?</span></span></strong></h2> <h3><span><span>Life at Teads</span></span></h3> <p><span>Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.</span></p> <p><span>Our company culture is welcoming, dynamic, diverse, global, and built on top performance.</span></p> <p><s