NEW YORKER
38112 Braunschweig - Deutschland
Data-Warehouse-Analyst/in
Arbeit
ab 02.04.2026
Beschreibung
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 Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and ...
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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 Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers Actively manage stakeholders by translating business requirements into technical specifications and regularly presenting results Write high-quality, maintainable code and mentor junior team members through code reviews and pair-programming Continuously improve our internal tooling, shared libraries, and development practices Apply industry best practices, including solid testing, documentation, and ensuring full reproducibility of work THAT'S WHAT WE NEED University degree in a relevant field, e.g. computer science, statistics or physics with 3+ years of experience working as a Data Scientist Strong software engineering skills (Python, SQL, CI/CD, testing, version control) Extensive experience in the use of open-source data libraries like scikit-learn, pytorch, pyspark, jupyter, pandas and airflow Experience with Spark, Hadoop or SQL as well as the application of modern software development methods Experience deploying ML models to production Excellent communication skills and stakeholder management Passion for mentoring and raising the bar for the team Good spoken and written German, fluent English is a must-have YOUR BENEFITS AT NEW YORKER At NEW YORKER, you are more than just an employee - with our benefits, we want you to feel completely at ease right from the start, both professionally and personally. Benefits. 30% staff discount in all NEW YORKER shops Access to corporate benefits with a wide range of offers Company fitness co-operation with Hansefit - nationwide discounted fitness and wellness offers Exclusive discounts at the OX restaurant in Braunschweig Fairness. Flexible working hours for a healthy work-life balance Attractive remuneration & comprehensive social benefits 30 days holiday, company pension scheme and capital-forming benefits Security & prospects. Permanent job in an internationally successful company Stable, fast-growing and future-orientated Working together. Personal buddy for your successful start Onboarding events for the perfect start Company and team events for a strong sense of togetherness Location & future. Very good connection of the headquarter (Hansestraße) to the A2/A391 motorway as well as free employee parking spaces at many locations You can already look forward to our Fashion Campus: a modern headquarter with inspiring workplaces that will be built in the coming years GET IN CONTACT NEW YORKER Group-Services International GmbH & Co. KG Contact: Aayush Sarma | Recruiting Specialist P +49 531 2135 - 5421 www.newyorker.de/Jobs
Ref-Nr.: 8511086
Aktualisiert:
17.04.2026
Quelle: Bundesagentur für Arbeit
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Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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