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Ringier Axel Springer Tech
We are looking for a Junior Data Scientist to join our analytical team.
The person in this position will be responsible for initial data processing, assistance in building data analysis models and support in identifying trends and providing data-based business strategies. The key task will be to cooperate with the product and business teams to understand the basic needs of customers and support in the development of data-driven solutions. We are looking for a person who is willing to learn new things and will support the team in implementing new products for the RASP group.
If you are ready to gain experience and want to be part of a dynamic team that transforms the media, we are waiting for your application!
We are looking for a Junior Data Scientist who /a will join our analytics team.
The person in this position will be responsible for initial data processing, assistance in building data analysis models and support in identifying trends and providing data-based business strategies. The key task will be to cooperate with the product and business teams to understand the basic needs of customers and support in the development of data-driven solutions. We are looking for a person who is willing to learn new things and will support the team in implementing new products for the RASP group.
If you are ready to gain experience and want to be part of a dynamic team that is transforming the media, we are waiting for your application!
, [Data analysis to identify trends and patterns in the behavior of media platform users , Collaboration in creating advanced predictive models based on user data, Collaboration with a team of engineers to implement and deploy machine learning algorithms, Support in optimizing business processes through the use of data and predictive analysis, Conducting A/B experiments to assess the effectiveness of marketing strategies] Вимоги : Python, Data science, SQL, R, AWS, PyTorch Bonuses: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, Free coffee, Gym, Bike parking, Playroom, Shower, Mobile phone, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.