STAFF DATA SCIENTIST*
THIS IS US
The Data Science department uses statistical modeling, machine learning and optimization techniques to continuously improve business processes at NEW YORKER. We work in agile project teams on a variety of use cases, including order optimization, pricing, distribution and logistics. We are a very ambitious and international team and are proud of our high standards.
THAT'S THE JOB
1. Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning).
2. Actively grow and manage a network of business contacts in order to understand business processes, how they are represented in data and the main challenges faced by the business.
3. Based on your extent experience, identify potential Data Science use cases, assess their value potential and design a roadmap for their implementation.
4. Get your hands dirty, i.e., end-to-end implement advanced machine learning models, contributing directly to projects and leading and guiding other Data Scientists.
5. Partner with strong data engineering and software engineering teams to deploy, integrate, and maintain data products.
6. Coordinate with head, team leads and other individual contributor leaders to realize impactful solutions that shape the company’s data and process environment.
7. Weigh in on decisions that impact other teams or the company at large and support projects and project leads in defining roadmaps, visions and directions for long-term projects.
8. Provide advice if appropriate and guide the team towards the simplest possible solution to fulfill the business requirements and provide optimal net present value.
9. Teach, coach and guide the team through highly insightful, comprehensive code reviews, and facilitate a knowledge-sharing culture in the department.
10. Drive data science initiatives and shape the company’s long-term machine learning and AI strategy.
THAT'S WHAT WE NEED
11. University degree (STEM disciplines) with 7+ years of relevant working experience
12. Experience in the fashion, retail, or e-commerce industry
13. Data Scientist with keen interest in software engineering or former software engineers with a proven track record of Data Science projects
14. Comfortable working with and managing uncertainty and ambiguity
15. Excellent knowledge of Python and relevant data science frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc.)
16. Good knowledge of SQL and the Python data engineering stack (e.g. Spark, Hadoop)
17. Team skills, communication skills and hands-on mentality
18. Well-organized, structured and self-driven while aligning proactively with the team
19. You speak fluent German and English
THAT SPEAKS FOR US
20. A secure, permanent job in an internationally operating company in a future-proof industry that is characterized by growth
21. Participation in shaping the digital transformation in an innovative company
22. Permanent employment contract with 30 days of vacation, an attractive salary and further training opportunities/career model
23. A structured onboarding and mentoring program in a great team with international colleagues, a “Duz Kultur” and open doors
24. Numerous benefits, such as a 30% staff discount at our NEW YORKER stores, company and team events, and canteens with a diverse food selection
GET IN CONTACT
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