Data Analyst

1 dzień temu


Warszawa, mazowieckie, Polska Transition Technologies PSC Pełny etat

Firma Algomine, należąca do grupy TTPSC, poszukuje Data Analyst


Zakres obowiązków

  • Samodzielna praca na projektach analitycznych i consultingowych
  • Bliska współpraca z klientem, analiza procesów, zbieranie wymagań
  • Prowadzenie analiz eksploracyjnych, profilowanie danych, ocena jakości i przydatności zbiorów/zmiennych
  • Walidacja źródeł i modeli danych, projektowanie przepływów danych
  • Weryfikacja poprawności wyników przeliczeń
  • Tworzenie raportów i wizualizacji
  • Development i deployment rozwiązań o charakterze produkcyjnym
  • Utrzymywanie i rozwój wdrożonych rozwiązań
  • Prezentacja koncepcji i business-case, omawianie uzyskiwanych wyników


Poszukiwane kompetencje

  • Wykształcenie wyższe o ścisłym profilu: ekonometria, metody ilościowe, matematyka, informatyka lub podobne
  • Min. 1 rok doświadczenia w roli Data Scientist / Analityk Danych, w pracy z dużymi zbiorami danych i danymi o charakterze produkcyjnym
  • Umiejętność pracy z danymi, identyfikowania często występujących problemów, projektowania i implementacji przepływów i ich testowania
  • Dobra znajomość narzędzi służących do przetwarzania danych (SQL, Pandas)
  • Dobra znajomość języka Python, w tym programowania obiektowego
  • Dobra znajomość języka angielskiego, w tym pojęć technicznych
  • Dobra komunikacja, umiejętność dialogu z biznesem, prezentacji złożonych koncepcji
  • Znajomość technik i algorytmów machine learning'owych oraz ich implementacji w Python
  • Umiejętność pracy z narzędziami do wersjonowania kodu (git)

Mile widziane:

  • Doświadczenie w obszarze doradztwa i consultingu / w pracy dla różnych klientów zewnętrznych, ewentualnie wewnętrznych (np. dział analiz w firmie) / doświadczenie z kilku branż
  • Doświadczenie w projektach end-to-end: od projektu do wdrożenia
  • Doświadczenie w sektorze finansowym (bankowość, ryzyko, AML)


Stos technologiczny:

  • Doświadczenie w obszarze doradztwa i consultingu / w pracy dla różnych klientów zewnętrznych, ewentualnie wewnętrznych (np. dział analiz w firmie) / doświadczenie z kilku branż
  • Open-source: Python, doświadczenie w pracy w notebookach (Jupyter, Zeppelin)
  • Biblioteki: Pandas, Numpy, Scikit-learn, Xgboost (mile widziane: Keras, PyTorch, TensorFlow, Optuna)
  • Git
  • Mile widziane – AWS, Snowflake


Oferujemy

  • Elastyczne formy zatrudnienia i godziny pracy
  • Ciekawą, pełną wyzwań pracę w dynamicznie rozwijającej się spółce Grupy Kapitałowej
  • Pracę nad innowacyjnymi projektami z wykorzystaniem nowoczesnych technologii
  • Bezpośredni wpływ na kształtowanie wizerunku spółek Grupy Kapitałowej na rynku
  • Możliwość rozwoju kompetencji w szerokim zakresie
  • Atrakcyjne wynagrodzenie
  • Stabilność zatrudnienia i przyjazną atmosferę pracy



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