NEW YORKER
SENIOR DATA SCIENTIST*
38112 Braunschweig
Start 17.07.2026
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
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
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