About
The Data Science department at NEW YORKER utilizes statistical modeling, machine learning, and optimization techniques to enhance business processes. Our agile team works on diverse use cases such as order optimization, pricing, distribution, and logistics. We are an ambitious, international team committed to high standards.
Responsibilities
- Actively develop and manage a network of business contacts to understand processes, data representations, and challenges.
- Collaborate with leadership to develop advanced machine learning models for automation and forecasting, ensuring high-quality results.
- Deliver complex, mission-critical projects from start to finish in areas like assortment planning, pricing, and distribution, covering all phases from requirement analysis to deployment.
- Partner with data engineering and software engineering teams to deploy and maintain data products.
- Design and implement machine learning models, act as a role model, and lead by example.
- Contribute to strategic decisions impacting teams and the company, and support project roadmaps and visions.
- Provide guidance on solutions that fulfill business needs with optimal value.
- Mentor the team through code reviews and promote knowledge sharing.
- Drive data science initiatives and shape the company's long-term AI strategy.
Minimum Requirements
- University degree in STEM disciplines with 7+ years of relevant experience.
- Experience in the fashion, retail, or e-commerce industry.
- Background as a Data Scientist or software engineer with proven data science project experience.
- Comfort with uncertainty and ambiguity.
- Proficiency in Python and relevant frameworks (pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Knowledge of SQL and the Python data engineering stack (Spark, Hadoop).
- Strong teamwork, communication, and hands-on skills.
- Well-organized, proactive, and self-driven, with alignment to team goals.
- Fluent in German and English.