SENIOR DATA SCIENTIST*

Das ist der Job

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Darum lohnt es sich

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 JOBCombine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutionsLead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data EngineersActively manage stakeholders by translating business requirements into technical specifications and regularly presenting resultsWrite high-quality, maintainable code and mentor junior team members through code reviews and pair-programmingContinuously improve our internal tooling, shared libraries, and development practicesApply industry best practices, including solid testing, documentation, and ensuring full reproducibility of work THAT'S WHAT WE NEEDUniversity degree in a relevant field, e.g. computer science, statistics or physics with 3+ years of experience working as a Data ScientistStrong 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 airflowExperience with Spark, Hadoop or SQL as well as the application of modern software development methodsExperience deploying ML models to productionExcellent communication skills and stakeholder managementPassion for mentoring and raising the bar for the teamGood spoken and written German, fluent English is a must-have YOUR BENEFITS AT NEW YORKERAt 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 shopsAccess to corporate benefits with a wide range of offersCompany fitness co-operation with Hansefit - nationwide discounted fitness and wellness offersExclusive discounts at the OX restaurant in BraunschweigFairness.Flexible working hours for a healthy work-life balanceAttractive remuneration & comprehensive social benefits30 days holiday, company pension scheme and capital-forming benefitsSecurity & prospects.Permanent job in an internationally successful companyStable, fast-growing and future-orientatedWorking together.Personal buddy for your successful startOnboarding events for the perfect startCompany and team events for a strong sense of togethernessLocation & future.Very good connection of the headquarter (Hansestraße) to the A2/A391 motorway as well as free employee parking spaces at many locationsYou can already look forward to our Fashion Campus: a modern headquarter with inspiring workplaces that will be built in the coming yearsGET IN CONTACTNEW YORKER Group-Services International GmbH & Co.

Sie können die Anzeige jederzeit wieder deaktivieren.Video ausblendenSie können solche externen Einbettungen mit diesem Schalter wieder deaktivieren (Datenschutzerklärung).THAT'S THE JOBCombine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutionsLead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data EngineersActively manage stakeholders by translating business requirements into technical specifications and regularly presenting resultsWrite high-quality, maintainable code and mentor junior team members through code reviews and pair-programmingContinuously improve our internal tooling, shared libraries, and development practicesApply industry best practices, including solid testing, documentation, and ensuring full reproducibility of work THAT'S WHAT WE NEEDUniversity degree in a relevant field, e.g. computer science, statistics or physics with 3+ years of experience working as a Data ScientistStrong 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 airflowExperience with Spark, Hadoop or SQL as well as the application of modern software development methodsExperience deploying ML models to productionExcellent communication skills and stakeholder managementPassion for mentoring and raising the bar for the teamGood spoken and written German, fluent English is a must-have YOUR BENEFITS AT NEW YORKERAt 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 shopsAccess to corporate benefits with a wide range of offersCompany fitness co-operation with Hansefit - nationwide discounted fitness and wellness offersExclusive discounts at the OX restaurant in BraunschweigFairness.Flexible working hours for a healthy work-life balanceAttractive remuneration & comprehensive social benefits30 days holiday, company pension scheme and capital-forming benefitsSecurity & prospects.Permanent job in an internationally successful companyStable, fast-growing and future-orientatedWorking together.Personal buddy for your successful startOnboarding events for the perfect startCompany and team events for a strong sense of togethernessLocation & future.Very good connection of the headquarter (Hansestraße) to the A2/A391 motorway as well as free employee parking spaces at many locationsYou can already look forward to our Fashion Campus: a modern headquarter with inspiring workplaces that will be built in the coming years THIS IS USThe Data Science department uses statistical modeling, machine learning and optimization techniques to continuously improve business processes at NEW YORKER.

KGContact: Aayush Sarma | Recruiting SpecialistP - 5421 empfohlener externer InhaltVideo anzeigenIch bin damit einverstanden, dass mir externe Inhalte angezeigt werden. New Yorker hat darauf keinen Einfluss. Näheres dazu lesen Sie in unserer Datenschutzerklärung.