• Working on a very high traffic environment with low latency and high availability constraints
• Rich tech stack and system architecture to optimize for performance, scalability, resiliency and cost efficiency
• Fast changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products
• Management of large dataset with milliseconds order of magnitude access time to compute in near real time complex auction resolution algorithm
• Build efficient and easy to use web products used by thousands of users working for the world's most premium publishers, advertisers and agencies

As a Senior Data Scientist, your mission will be to:

• Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
• Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
• Implement your algorithms and models end to end.
• Collaborate with a variety of teams to develop services from design to production.
• Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
• Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.

Your skills and experiences:

• Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience complicated topics
• Strong problem solving skills, and deducing from specific problems wider range products
• True scientist skills: fast learner, curious, sense of details, rigourous
• Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …)
• An appetite for Data Science applied to high-volumetry, low-latency topics.
• Ability to read scientific articles, to analyze critically, and to implement as appropriate.
• Good programming abilities
• You are very mindful about your application architecture, performance, testing and maintainability and its overall quality

Bonus points:

• Large-scale distributed systems, service oriented architecture
• Previous experience with all or some of the elements of our Stack (we mainly use Scala, Spark, Breeze, Kafka, AWS, Jupyter notebooks)
• Knowledge in data engineering

• Entrepreneurship, we value ownership, initiative, autonomy and pragmatism
• You will work in an organization where humility, respect, and trust are core values
• We embrace a "no blame no mercy" mindset
• You build it, you ship it, you run it
• Knowledge sharing across organizational boundaries through communities of practice (backend development, datastore, web development, data science, data engineering …) 
• Get competitive benefits and in-house training