Data Scientist

Contenu de l'offre Data Scientist chez Teads

We are looking for a Data Scientist based in Paris to work on our Advertising Platform, reaching 1.5Bn users per month.

Our engineering team brings together 120+ talented individuals on 3 main locations (Paris, Montpellier and Bucharest). We are organized in agile and autonomous feature teams and we also share technical knowledge within several communities of practice.

Our main engineering challenges:
We work in a very high traffic environment with low latency constraints Web and mobile complexity, we are trying to offer a similar user experience on a wide range of contexts (device, OS, browser, etc.) An infinite source of Machine Learning use cases, ranging from Infrastructure optimisation to ad performance prediction Large datasets that we need to train on several times a day and even greater volumes for analytics use cases We operate globally and constantly think about new products to build the future of the media Check ourEngineering blog ( https://medium.com/teads-engineering ) and ourTechnical Stack ( https://stackshare.io/teads/teads )

The Data Science team at Teads aims at designing and productizing innovative machine learning solutions to answer business needs (bid strategy optimization, ad event prediction, user targeting, …) and at improving and scaling our machine learning stack and prediction models. Teads is currently looking for a Data Scientist to strengthen this strategic team.

As a 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, 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. Working collaboratively with the team, able to explain your decision and share your knowledge. 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. A real 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). Experience in solving complex business related challenges. Knowledge of AB-testing and the related analysis. MySQL and NoSQL datastores. If you want to apply machine learning at scale and solve high scalability problems, join us!

About Teads

Teads is The Global Media Platform. We have united and empowered the best publishers in the world and distribute ads to over 1.5 billion people every month within professionally-produced content.

Through its end-to-end platform, Teads provides demand-side, sell-side and creative technology to deliver better media effectiveness for brands, better monetisation solutions for publishers, and better experiences for consumers.

Teads partners with the leading marketers, agencies and publishers through a team of 800+ people in 26 countries

We're committed to creating a dynamic work environment that values diversity and inclusion, and represents employees across a variety of skill sets. We embrace contributions from all ages, sexes, races, ethnicities, religions, sexual orientations and gender identities.

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