Senior Data Scientist

<p>Teads has an engineering team that brings together <strong>200+ talented individuals</strong> in 3 main locations (<strong>Montpellier, Paris, and Bucharest</strong>). We are organized in agile and autonomous <strong>feature teams</strong> and share technical knowledge within several <strong>communities of practice</strong>.</p> <p>We promote diversity and are committed to creating an inclusive environment to enable all employees to feel valued and respected, which fosters creativity and innovation by allowing constructive collaboration and open exchange of ideas.</p> <p>Our organization offers the opportunity for hybrid work, allowing for two days in the office and the option to work remotely for the remainder of the week. Additionally, we provide relocation packages for those who prefer to relocate to one of our engineering offices.</p> <p> <br/>👉 Join a team of passionate people who build quality and responsible advertising, at scale!</p> <h2><strong>Our main Engineering challenges at Teads</strong><br/></h2> <ul> <li>Working in a very <strong>high-traffic</strong> environment (1.9 billion users per month, 100 billion events per day) with <strong>low latency</strong> and <strong>high availability</strong> constraints (2 million requests per second, responses in less than 150 milliseconds).</li> <li><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.</li> <li>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).</li> <li>Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.</li> <li>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>.</li> <li>Bring a wide diversity of profiles to the same level of quality and knowledge.</li> </ul> <h2>What will you do?</h2> <p>As a <strong>Senior</strong> <strong>Data Scientist</strong>, your mission will be to:</p> <ul> <li>Improve existing algorithms &amp; tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.</li> <li>Develop new algorithms &amp; new approaches to provide accurate predictions and drive new products by providing business insights.</li> <li>Implement your algorithms and models end to end.</li> <li>Collaborate with a variety of teams to develop services from design to production.</li> <li>Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).</li> <li>Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.</li> </ul> <h2 id="EMGoffer-Whatyoubringtotheteam">What will you bring to the team?</h2> <p>Your skills and experiences:</p> <ul> <li>Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience complicated topics.</li> <li>Strong problem solving skills, and deducing from specific problems wider range products.</li> <li>True scientist skills: fast learner, curious, sense of details, rigourous.</li> <li>Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …).</li> <li>An appetite for Data Science applied to high-volumetry, low-latency topics.</li> <li>Ability to read scientific articles, to analyze critically, and to implement as appropriate.</li> <li>Good programming abilities.</li> <li>You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.</li> </ul> <p>Bonus points:</p> <ul> <li>Large-scale distributed systems, service oriented architecture.</li> <li>Previous experience with all or some of the elements of our Stack (we mainly use Scala, Spark, Breeze, Kafka, AWS, Jupyter notebooks).</li> <li>Knowledge in data engineering.</li> </ul> <h2>Why work at Teads?</h2> <p>At Teads, Product and Engineering work hand in hand and are aligned towards the same goal: to <strong>scale our business</strong> while continuing to create <strong>new and exciting products</strong>.</p> <ul> <li>We value <strong>team spirit</strong>, <strong>pragmatism</strong>, <strong>listening</strong> and we encourage <strong>initiatives</strong>.</li> <li>We promote <strong>end-to-end development</strong>: “You build it, you run it, you monitor it”.</li> <li>We <strong>share knowledge</strong> and support with each other beyond any organizational boundary.</li> <li>We fix issues during a <strong>blameless</strong> postmortem an