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Staff / principal data scientist

Niederdorla
Xcede
Data Scientist
Inserat online seit: 9 Dezember
Beschreibung

Staff / Principal Data Scientist Location: Braunschweig, Germany | Salary up to €115,000 One of the largest clothing retailers in Europe is hiring a Staff / Principal Data Scientist to join their growing team. With 1,000+ stores across Europe and Asia and over €4 billion in annual revenue, this brand is combining fashion with cutting-edge data science and they’re looking for someone to lead the way. The Position Drive high-impact machine learning use cases across assortment planning, demand forecasting, and markdown optimisation Own complex, business-critical data science projects end-to-end, from stakeholder discovery to deployment Build and deploy predictive models using Python, Spark, and modern ML frameworks (e.g., PyTorch, scikit-learn) Collaborate with data engineering and business teams to develop scalable, production-ready solutions Act as a role model and hands-on contributor, mentoring junior data scientists and reviewing code Present insights to senior stakeholders and influence strategic decision-making Help shape the long-term ML and AI strategy across the retail business Experience 7+ years of data science or ML experience, ideally in retail, fashion, or e-commerce Advanced knowledge of Python, SQL, and big data tech like Spark Experience with frameworks like scikit-learn, PyTorch, SparkML Strong communicator, confident presenting to large groups (50–100 stakeholders) Proven experience leading projects and collaborating with cross-functional teams Fluent in German (C1+) and English STEM degree (Master’s or PhD preferred) Benefits & Details Up to €115,000 salary Office-based role in modern Braunschweig HQ (relocation support available) 30 days of holiday Generous employee discount on products Structured progression plan and L&D budget Annual capital-forming contributions (e.g., pension, savings) 2-stage interview process For more information, apply or contact Norman Cistovas. #J-18808-Ljbffr

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