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Staff Data Scientist(m/w/x)
Building advanced machine learning models for assortment planning, pricing, and distribution at a fashion brand for real moments. Experience in fashion, retail, or e-commerce, plus excellent Python and data science frameworks knowledge essential. 30 days vacation, structured onboarding and mentoring program.
Requirements
- University degree in STEM disciplines
- Experience in fashion, retail, or e-commerce industry
- Interest in software engineering or proven track record in Data Science projects
- Comfort with uncertainty and ambiguity
- Excellent knowledge of Python and data science frameworks
- Good knowledge of SQL and Python data engineering stack
- Team skills, communication skills, and hands-on mentality
- Well-organized, structured, and self-driven
- Fluency in German and English
Tasks
- Grow and manage a network of business contacts
- Understand business processes and data representation
- Collaborate with leaders to develop advanced machine learning models
- Deliver complex projects in assortment planning, pricing, and distribution
- Conduct business understanding and requirements analysis
- Perform data analysis and statistical modeling
- Lead project planning and stakeholder management
- Partner with data engineering and software engineering teams
- Deploy, integrate, and maintain data products
- Design and implement advanced machine learning models
- Act as a role model for other data scientists
- Influence decisions impacting teams and the company
- Support project leads in defining long-term roadmaps
- Guide the team towards optimal solutions
- Conduct insightful code reviews and facilitate knowledge sharing
- Drive data science initiatives and shape AI strategy
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- NumPy
- scikit-learn
- TensorFlow
- PyTorch
- SQL
- Spark
- Hadoop
Benefits
Job Security
- Permanent employment contract
Competitive Pay
- Attractive salary
More Vacation Days
- 30 days of vacation
Learning & Development
- Further training opportunities
Mentorship & Coaching
- Structured onboarding and mentoring program
Corporate Discounts
- 30% staff discount
Team Events
- Company and team events
Free or Subsidized Food
- Canteens with diverse food selection
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Staff Data Scientist(m/w/x)
Building advanced machine learning models for assortment planning, pricing, and distribution at a fashion brand for real moments. Experience in fashion, retail, or e-commerce, plus excellent Python and data science frameworks knowledge essential. 30 days vacation, structured onboarding and mentoring program.
Requirements
- University degree in STEM disciplines
- Experience in fashion, retail, or e-commerce industry
- Interest in software engineering or proven track record in Data Science projects
- Comfort with uncertainty and ambiguity
- Excellent knowledge of Python and data science frameworks
- Good knowledge of SQL and Python data engineering stack
- Team skills, communication skills, and hands-on mentality
- Well-organized, structured, and self-driven
- Fluency in German and English
Tasks
- Grow and manage a network of business contacts
- Understand business processes and data representation
- Collaborate with leaders to develop advanced machine learning models
- Deliver complex projects in assortment planning, pricing, and distribution
- Conduct business understanding and requirements analysis
- Perform data analysis and statistical modeling
- Lead project planning and stakeholder management
- Partner with data engineering and software engineering teams
- Deploy, integrate, and maintain data products
- Design and implement advanced machine learning models
- Act as a role model for other data scientists
- Influence decisions impacting teams and the company
- Support project leads in defining long-term roadmaps
- Guide the team towards optimal solutions
- Conduct insightful code reviews and facilitate knowledge sharing
- Drive data science initiatives and shape AI strategy
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- NumPy
- scikit-learn
- TensorFlow
- PyTorch
- SQL
- Spark
- Hadoop
Benefits
Job Security
- Permanent employment contract
Competitive Pay
- Attractive salary
More Vacation Days
- 30 days of vacation
Learning & Development
- Further training opportunities
Mentorship & Coaching
- Structured onboarding and mentoring program
Corporate Discounts
- 30% staff discount
Team Events
- Company and team events
Free or Subsidized Food
- Canteens with diverse food selection
About the Company
NEW YORKER
Industry
Retail
Description
Das Unternehmen macht Mode für echte Momente und sucht Mitarbeiter mit Leidenschaft und Kreativität.
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