Data Scientist Assistant

Il y a 2 mois


Montpellier, Occitanie, France Teads Temps plein
About the Role

We are seeking a highly skilled Data Scientist Assistant to join our team at Teads, a leading global media platform. As a Data Scientist Assistant, you will play a key role in working on our user graph, which enables us to probabilistically link the various devices of our users and our broadcast channels (CTV, Web), as well as on deep learning models enabling us to classify them or obtain the best vector representation of their digital usage.

Key Responsibilities
  • Program in Python (pandas, keras, tensorflow, seaborn, etc.)
  • Master GCP big data tools such as Bigquery and Looker
  • Use the production tools in the AWS stack
  • Use Scala
  • Respect good practice in data engineering and machine learning engineering
Requirements
  • Knowledge of Python for data science purposes
  • Knowledge of big data-oriented SQL and any other experience related to the tools mentioned above would be a plus
  • Curious, team player, critical thinker and willing to learn
About Teads

Teads operates a leading, cloud-based, omnichannel platform that enables programmatic digital advertising across a global ecosystem of quality digital media. As an end-to-end solution, Teads' modular platform allows partners to leverage buy-side, sell-side, creative, data and AI optimization technologies. For advertisers and their agencies, Teads offers a single access point to buy the inventory of many of the world's best publishers and content providers.

Through exclusive global media partnerships, Teads enables advertisers and agencies to reach billions of unique monthly users in brand safe, responsible advertising environments, while improving the effectiveness and efficiency of digital ad transactions. Teads partners with the leading marketers, agencies and publishers through a team of 1,200+ people in 50 offices across more than 30 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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