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. 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.
2. Partner with head, team leads and other individual contributor leaders to realize advanced machine learning models that power automation and forecasting while ensuring high quality results.
3. Deliver complex mission-critical projects from beginning to end across key areas such as assortment planning, pricing, and distribution, via business understanding, requirements analysis, data analysis, project planning, statistical modeling, programming and coding, project leadership, stakeholder management, product realization, and roll out.
4. Partner with strong data engineering and software engineering teams to deploy, integrate, and maintain data products.
5. Design and implement advanced machine learning models yourself, contributing directly to projects, act as a role model and baseline for other data scientists, and lead by example.
6. 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.
7. Provide advice if appropriate and guide the team towards the simplest possible solution to fulfill the business requirements and provide optimal net present value.
8. Teach, coach and guide the team through highly insightful, comprehensive code reviews, and facilitate a knowledge-sharing culture in the department.
9. Drive data science initiatives and shape the company’s long-term machine learning and AI strategy.
THAT'S WHAT WE NEED
10. University degree (STEM disciplines) with 7+ years of relevant working experience
11. Experience in the fashion, retail, or e-commerce industry
12. Data Scientist with keen interest in software engineering or former software engineers with a proven track record of Data Science projects
13. Comfortable working with and managing uncertainty and ambiguity
14. Excellent knowledge of Python and relevant data science frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc.)
15. Good knowledge of SQL and the Python data engineering stack (e.g. Spark, Hadoop)
16. Team skills, communication skills and hands-on mentality
17. Well-organized, structured and self-driven while aligning proactively with the team
18. You speak fluent German and English
THAT SPEAKS FOR US
19. A secure, permanent job in an internationally operating company in a future-proof industry that is characterized by growth
20. Participation in shaping the digital transformation in an innovative company
21. Permanent employment contract with 30 days of vacation, an attractive salary and further training opportunities/career model
22. A structured onboarding and mentoring program in a great team with international colleagues, a “Duz Kultur” and open doors
23. 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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