{"id":2111098,"url":"https://alion.io/job/antal-data-scientist","title":"Data Scientist","company":{"id":870,"name":"Antal","domain":"antal.pl","url":"https://alion.io/company/antal-sp-z-o-o","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":95,"open_postings":749,"ghost_share":0.001,"stale_share":0,"repost_share":0.007,"time_to_fill_p50_days":112,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":128000,"period":"year","method":"role_country_seniority_unknown","sample_n":333},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Kedro","optional":true},{"name":"pySpark","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-07T18:12:47Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T03:10:17Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Dla naszego Klienta - międzynarodowej organizacji technologicznej rozwijającej zaawansowane rozwiązania w obszarze data science - poszukujemy osoby na stanowisko Data Scientist, która dołączy do zespołu pracującego nad modelami optymalizacyjnymi i analityką na dużą skalę.\nRola obejmuje pracę nad złożonymi problemami biznesowymi oraz rozwój modeli, które mają bezpośredni wpływ na efektywność operacyjną i podejmowanie decyzji.\nZakres obowiązków\nProjektowanie i rozwój algorytmów optymalizacyjnych oraz systemów alokacji zasobów\nRozwiązywanie złożonych problemów z wieloma ograniczeniami i zależnościami\nWykorzystanie metod takich jak modelowanie grafowe, clustering, regresja oraz prognozowanie\nBudowa modeli wspierających efektywność procesów i optymalizację kosztów\nWdrażanie rozwiązań do środowiska produkcyjnego (pełen cykl życia modeli)\nWymagania\nMinimum 3 lata doświadczenia w obszarze Data Science / Machine Learning\nBardzo dobra znajomość Python (Pandas, NumPy, Scikit-learn lub podobne)\nDoświadczenie w pracy z dużymi zbiorami danych\nSolidne podstawy metod ML (regresja, clustering, forecasting itd.)\nUmiejętność przekładania problemów biznesowych na rozwiązania analityczne\nMile widziane\nDoświadczenie w rozwiązywaniu problemów optymalizacyjnych (np. scheduling, operations research)\nZnajomość podejść grafowych lub problemów sieciowych\nDoświadczenie z modelami działającymi w środowisku produkcyjnym na dużą skalę\nPraca z narzędziami Big Data i chmurą (PySpark, Databricks, AWS, GCP, Snowflake)\nZnajomość MLOps / CI/CD\nZnajomość technik optymalizacyjnych (programowanie liniowe, heurystyki)\nDoświadczenie z frameworkami workflow (np. 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