Data Science Internship @

3 dni temu


Warszawa, Mazovia, Polska Ringier Axel Springer Tech Pełny etat

Marzysz o pracy jako Data Scientis? Chcesz pracować przy realnych projektach dla największych polskich marek internetowych? Chcesz zdobyć doświadczenie w pracy zespołowej, komunikacji i zwinnych procesach w hybrydowym świecie? To świetnie trafiłeś/aś Tego lata zrealizujesz projekt dla milionów użytkowników i użytkowniczek. Tego lata zobaczysz, jak działają największe polskie media. Tego lata nie pożałujesz. Podejmij wyzwanie, zrób zadanie i aplikuj do programu stażowego RAS TECH Summer. Zespół Data Science optymalizuje i automatyzuje filary naszego biznesu, głównie skupiając się na rekomendacjach treści i reklam. Dbamy, aby użytkownicy i użytkowniczki dostawali to, czego jeszcze nie wiedzą, że chcą. To wyzwanie, bo mamy tylko ułamek sekundy na podjęcie decyzji, skalując rozwiązania na ponad 20 milionów użytkowników i użytkowniczek w Polsce. Oprócz rekomendacji zajmujemy się też innymi wyzwaniami. Sprawdzamy, czy użytkownik/czka to zaangażowany fan(ka) treści, czy ktoś, kto zaraz zniknie. Walczymy ze spamem i wyceniamy reklamy, bo każda sekunda uwagi ma swoją wartość. Dbamy o długowieczność naszych modeli, rozwijając środowisko do ich automatycznego zarządzania i wspierając inne zespoły w tematach Machine Learningu. Technologia: AWS, Python, Tensorflow, Pytorch, Sagemaker. Marzysz o pracy jako Data Scientis? Chcesz pracować przy realnych projektach dla największych polskich marek internetowych? Chcesz zdobyć doświadczenie w pracy zespołowej, komunikacji i zwinnych procesach w hybrydowym świecie? To świetnie trafiłeś/aś Tego lata zrealizujesz projekt dla milionów użytkowników i użytkowniczek. Tego lata zobaczysz, jak działają największe polskie media. Tego lata nie pożałujesz. Podejmij wyzwanie, zrób zadanie i aplikuj do programu stażowego RAS TECH Summer. ,[] Requirements: Jira, Python, Data science, AWS Tools: Agile, Scrum. Additionally: Free coffee, Gym, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code, Free beverages.



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