Staff / Principal Data Scientist

Xcede; Deutschland; Vor Ort; EUR 119.000 - 140.000; Vollzeit

Zusammenfassung

A leading clothing retailer is hiring a Staff / Principal Data Scientist to drive machine learning use cases and lead projects. The ideal candidate will have over seven years of experience in data science, proficiency in Python and big data technologies, and fluency in German and English. This office-based role in Braunschweig offers a competitive salary of up to €140,000 along with benefits like generous holidays and employee discounts.

Leistungen

Up to €140,000 salary

30 days of holiday

Generous employee discount on products

Structured progression plan and L&D budget

Annual capital-forming contributions

Qualifikationen

• 7+ years of data science or ML experience, ideally in retail, fashion, or e-commerce.
• Advanced knowledge of Python and big data tech like Spark.
• Strong communicator, confident presenting to large groups (50–100 stakeholders).

Aufgaben

• 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.
• Help shape the long-term ML and AI strategy across the retail business.

Kenntnisse

Machine learning

Python

SQL

Big data technologies

Collaboration

Communication

Mentorship

Fluent in German and English

Ausbildung

STEM degree (Master’s or PhD preferred)

Tools

Spark

PyTorch

scikit-learn

Jobbeschreibung

Staff / Principal Data Scientist

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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 €140,000 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  Retail Apparel and Fashion

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