Data Analyst
1 dzień temu
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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