Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Teads, The Global Media Platform, has an engineering team that brings together 200+ talented individuals in 3 main locations (Montpellier, Paris, and Bucharest). We are organized in agile and autonomous feature teams and share technical knowledge within several communities of practice.

To innovate, we promote diversity and are committed to creating an inclusive environment for all employees.

Our organization gives the possibility to work remotely part of the time and more flexibility is open to discussion. We also offer relocation packages if you prefer to settle down in one of our engineering offices.

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering matters

• 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

What will you do?

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

What will you bring to the team?

• 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