{"id":3710782,"url":"https://alion.io/job/chg-meridian-senior-data-scientist-mfd-2","title":"Senior Data Scientist (m/f/d)","company":{"id":704547,"name":"Chg Meridian","domain":"chg-meridian.com","url":"https://alion.io/company/chg-meridian-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","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":"structured","locations":["Weingarten, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"closed","first_seen_at":"2026-10-04T02:00:00Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-11-04T15:33:20Z","board_verified":false,"closed_at":"2026-11-04T15:33:20Z","days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"Gestalte mit uns die digitale Zukunft - nachhaltig und international.\nWir bei CHG-MERIDIAN sind Vorreiter für technologieorientiertes Leasing und nachhaltige Nutzungskonzepte. Mit rund 1.700 Kolleg:innen in über 30 Ländern schaffen wir individuelle Lösungen entlang des gesamten Technologiezyklus in den Bereichen IT, Industrie und Healthcare. Bei CHG-MERIDIAN erwarten dich internationale Zusammenarbeit und individuelle Entwicklungschancen. Werde Teil unseres globalen Teams - it's about you!\nDas erwartet dich\n ML-Modellentwicklung für Advanced & Predictive Analytics: Entwicklung prädiktiver Modelle für Churn Prediction, Forecasting, Demand Planning sowie finanzielle Kennzahlen (z. B. LO, LOA, Gross Margin, Net Profit)\nPredictive „Ask your Data\" Use Cases: Ermöglichung interaktiver, KI-gestützter Datenabfragen für Business-Anwender\nDelivery von AI Use Cases: Forecasting & Prediction, Anomalieerkennung, Data Mining & Mustererkennung; Bereitstellung prädiktiver Insights für operative und finanzielle Steuerung\nOperationalisierung von ML-Modellen auf Microsoft Fabric: Deployment und Wartung von ML-Modellen auf der MS Fabric Plattform; Nutzung der ML-Capabilities von Fabric für produktive Workloads\n AI für datenbasierte Wertschöpfung: Abstimmung mit der KI-Strategie von CHG; enge Zusammenarbeit mit Senior AI Engineer(s) zu AI Use Cases\nFeature Engineering & Datenvorbereitung: Bereinigung, Transformation und Aufbereitung von Daten für ML-Modelle\nModellvalidierung & Backtesting: Sicherstellung der Vorhersagegenauigkeit durch rigorose Testmethoden\nDomänenspezifische AI Use Cases: z. B. Restwertprognose, eFMV-Schätzung, Remarketing-Preisoptimierung, Kreditrisikobeurteilung\nKnowledge Transfer: Befähigung von Citizen Data Scientists und Business Analysts zur Nutzung von ML-Outputs\nZusammenarbeit mit Data Engineers: Sicherstellung, dass Datenpipelines die Anforderungen der ML-Modelle erfüllen\nDas bringst du mit\nErfahrung: 3-5 Jahre Berufserfahrung im Bereich Data Science / Machine Learning; abgeschlossenes Studium in Informatik, Wirtschaftsinformatik, Mathematik oder vergleichbar\n Technische Basiskompetenz: Datenmodellierung (konzeptionell, logisch, physisch), Power BI, MS Fabric\nProgrammierung: Python, PySpark, SQL\nML-Frameworks: TensorFlow, PyTorch, Scikit-learn oder vergleichbare Technologien\nStatistisches Modellieren: Regression, Klassifikation, Zeitreihenprognose, Clustering\nCloud ML-Plattformen: MS Fabric, Azure ML oder vergleichbare cloudnative ML-Services\nDatenverarbeitung: Spark, Distributed Computing für Large-Scale Analytics\nSoft Skills: Ausgeprägte analytische Denkweise, Fähigkeit zur Übersetzung von Business-Anforderungen in ML-Lösungen, hohe Eigenverantwortung\nDomänenwissen: Grundlegendes Verständnis von Data Mesh, Data Products, Data Governance und Data Lakehouse-Architektur\nSprachkenntnisse: Sehr gute Englisch- und Deutschkenntnisse in Wort und Schrift\nFreue dich auf\nMobiles und flexibles Arbeiten, 30 Tage Urlaub und die Möglichkeit zu 20 Tagen Workation (innerhalb der EU)\nIndividuelles Onboarding sowie persönliche und fachliche Entwicklungsmöglichkeiten begleitet durch unser People Development Team\nBetriebliches Gesundheitsmanagement mit Fitness- und Sportangeboten (EGYM Wellpass, Sportevents, Gesundheitswochen)\nArbeitgeberzuschuss zu vermögenswirksamen Leistungen\nMobile Endgeräte der neuesten Generation auch zur privaten Nutzung\nWeitere Vorteile für dich im Rahmen von vermögenswirksamen Leistungen, Fahrradleasing, vergünstigtes Leasing von IT-Neugeräten für den Privatgebrauch und Corporate Benefits\nWir freuen uns auf dich!\nLass uns gemeinsam die Erfolgsgeschichte weiterschreiben. Wende dich bei Fragen jederzeit gerne an unsere People & Culture Abteilung.\nDein:e Ansprechpartner:in für diese Ausschreibung ist: Dominik Kühn\nOur Diversity, Equity, Inclusion, and Belonging Commitment: CHG-MERIDIAN embraces individuals from all backgrounds and perspectives to create a welcoming and collaborative workplace. We are committed to providing equal opportunities to foster a work environment free from discrimination and harassment. All individuals are treated with fairness, respect, equality, and dignity. We provide and promote an inclusive workplace where diversity is valued, and all social and cultural backgrounds are embraced. 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