{"id":45111,"url":"https://alion.io/job/speedapp-allegro-senior-data-scientist","title":"[Allegro] Senior Data Scientist","company":{"id":1385,"name":"speedapp","domain":"speedapp.pl","url":"https://alion.io/company/speedapp","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-30T08:51:32Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-15T12:59:04Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Dla naszego Klienta z branży e-commerce poszukujemy Senior Data Scientist rozwijającego modele ML, które stanowią rdzeń systemu rankingu i personalizacji reklam.\nResponsibilities\nProjektowanie, udoskonalanie i ewaluacja modeli scoringowych ML (CTR, CVR, RoAS) sterujących rankingiem i personalizacją reklam w środowisku o wysokiej przepustowości i niskich opóźnieniach (high-throughput, low-latency).\nOpracowywanie strategii modelowych łączących sygnały użytkownika, produktu i placementu na skalę całej platformy.\nWspółpraca z zespołami inżynierskimi oraz interesariuszami biznesowymi - przekładanie celów strategicznych na mierzalne rezultaty modelowe i techniczne roadmapy.\nZapewnianie przywództwa technicznego i kontroli jakości prac Data Science zgodnie ze standardami produkcyjnymi oraz wspieranie rozwoju innych Data Scientistów.\nPraca na dużą skalę danych, w międzynarodowym środowisku (komunikacja po angielsku).\nRequirements\nDoświadczenie z sieciami neuronowymi i deep learningiem - warunek konieczny; praktyczna praca nad modelami Deep Learning w krytycznych zastosowaniach produkcyjnych.\nUdokumentowane doświadczenie na wielkoskalowych zbiorach danych (large-scale).\nBiegłość w frameworkach deep learning (PyTorch lub TensorFlow) oraz mocna znajomość Pandas i NumPy.\nZaawansowany SQL, preferencyjnie analityczny SQL w środowiskach wielkoskalowych (np. BigQuery).\nDoświadczenie z publiczną chmurą, preferowany Google Cloud Platform - w tym usługi ML (Vertex AI, Vertex Pipelines).\nProwadzenie rozwoju modeli end-to-end: od sformułowania problemu i feature designu, przez ewaluację, po wdrożenie produkcyjne.\nSolidne fundamenty inżynierskie: produkcyjny, testowalny kod w Pythonie, znajomość CI/CD.\nSamodzielność i decyzyjność - gotowość do wzięcia odpowiedzialności za swój obszar.\nWykształcenie lub doświadczenie w obszarze STEM (Informatyka, Matematyka, Statystyka, Metody ilościowe, Fizyka).\nJęzyk angielski min. 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