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(Senior) Data Scientist (m/w/d)
- Essen, North Rhine-Westphalia, Germany
- Essen, North Rhine-Westphalia, Germany
About
Als eigenfinanziertes Familienunternehmen sind wir mehr als nur ein ca. 4.700 Standorte umspannendes Filialnetz in 34 Ländern, mehr als ca. 8,7 Mrd. Euro Jahresumsatz und mehr als einer der erfolgreichsten Online-Shops für Schuhe in Europa. Deichmann ist Wegbereiter, Förderer und Arbeitgeber von über 49.000 engagierten Mitarbeiterinnen und Mitarbeitern weltweit. Als nachhaltig expandierendes Unternehmen sind wir seit mehreren Jahrzehnten in der Lage, unseren Mitarbeitern einen sicheren Arbeitsplatz zu bieten.
- Du entwickelst Analytics-Produkte end-to-end in interdisziplinären Teams - vom Konzept über den PoC bis zum laufenden Betrieb.
- Du baust Forecasts, Optimierungsalgorithmen und weitere Data Products zur Unterstützung von Geschäftsentscheidungen auf und betreibst diese.
- Du erarbeitest und präsentierst Analysen unter Einsatz von Statistik, Machine Learning und Datenvisualisierung - und leitest daraus konkrete Handlungsempfehlungen ab.
- Du verantwortest den produktiven Betrieb deiner Modelle - inkl. Performance-Monitoring, Fehleranalyse und iterativer Weiterentwicklung.
- Du konzipierst Datenstrukturen für analytische Produkte und begleitest deren technische Umsetzung.
- Du stimmst dich eng mit Stakeholdern aus Business und IT ab, übersetzt Anforderungen in analytische Lösungen und kommunizierst Ergebnisse zielgruppengerecht.
- Du hast ein abgeschlossenes MINT-Studium und bringst mindestens 5 Jahre Erfahrung im Bereich Data Science oder Data Analytics mit, idealerweise im Retail- oder Fashion-Umfeld.
- Du verfügst über fundierte Kenntnisse in Statistik, Zeitreihenvorhersagen sowie Python und SQL.
- Du bist mit Software- und ML-Engineering-Prinzipien vertraut - von der Modellentwicklung über Testing, Versionierung und CI/CD bis zum produktiven Deployment und Monitoring.
- Du hast Erfahrung mit modernen Data-Plattformen (z. B. Azure, Databricks, Airflow, Power BI) und bist vertraut mit MLOps-Grundprinzipien.
- Du arbeitest pragmatisch, kommunizierst klar und findest dich schnell in neue Themen und Domänen ein.
- Sehr gute Deutschkenntnisse sind erforderlich, gute Englischkenntnisse werden vorausgesetzt.
- 30 Tage Urlaub
- Flexible Arbeitszeiten
- Tageweise mobiles Arbeiten
- Ermäßigtes DeutschlandTicket Job
- Betriebliche Altersvorsorge
- Kitaplätze
- Bistro
- Personalrabatt
- Unterstützungskasse
- Seminare & Fortbildungen
- Betriebliches Gesundheitsmanagement
- Firmenevents
Als Data Scientist (m/w/d) verstärkst du unsere Data & Analytics Unit und bringst dich aktiv in den Aufbau datengetriebener Produkte ein, die direkt in Geschäftsentscheidungen einfließen. In enger Zusammenarbeit mit unseren Fachbereichen schaffen wir Mehrwert auf einer modernen Cloud-Plattform - sei es im Kontext von Omnichannel, Marketing, CRM, Pricing, Einkauf oder Logistik. Dabei setzen wir auf Python, SQL, Databricks, MLflow und Airflow - immer mit dem Ziel, unser Business besser und unsere Kunden zufriedener zu machen.
Languages
- German
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