Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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ZAZalando
Senior Applied Scientist - Demand Forecasting(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing scalable ML models for fashion demand forecasting at a large e-commerce ecosystem. Extensive time-series forecasting experience in an industrial setting required. 27 days holiday, 2 volunteering days, up to 60% remote.
Anforderungen
- Extensive hands-on experience in time-series forecasting (industrial setting)
- Experience with large-scale forecasting applications (highly desirable)
- Solid understanding of ML/DL techniques for forecasting
- Academic background in quantitative field
- Proficiency in Python and ML libraries/frameworks
- Familiarity with data-intensive systems and ML engineering tools
- Proactive, self-driven mindset with ownership
- Team player with excellent collaboration skills
- Enjoys working with stakeholders to solve challenges
- Comfort working in diverse, inclusive, international environment
- English as main language
- Encouraged to apply even if not meeting every requirement
Aufgaben
- Collaborate with cross-functional teams to design robust demand forecasting models
- Develop scalable and accurate forecasting models using machine learning
- Work with engineering teams to deploy models into production
- Ensure models are maintainable and responsive to evolving needs
- Engage with stakeholders to understand challenges and identify solutions
- Design models for diverse forecasting use cases
- Improve models for inventory allocation and predictive storage
- Contribute to broader research efforts
- Share insights through knowledge-sharing sessions
- Mentor and engage with the Applied Scientists community
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- LightGBM
- Scikit-learn
- Pandas
- NumPy
- PySpark
- Databricks
- AWS
- SageMaker
- S3
- Airflow
- MLflow
- CI/CD
- Docker
- Git
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad up to 30 days
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Vorteile
- Relocation assistance
- Accessible candidate experience
- Accommodations for hiring process
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Zalando
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ZAZalando
Senior Applied Scientist - Demand Forecasting(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing scalable ML models for fashion demand forecasting at a large e-commerce ecosystem. Extensive time-series forecasting experience in an industrial setting required. 27 days holiday, 2 volunteering days, up to 60% remote.
Anforderungen
- Extensive hands-on experience in time-series forecasting (industrial setting)
- Experience with large-scale forecasting applications (highly desirable)
- Solid understanding of ML/DL techniques for forecasting
- Academic background in quantitative field
- Proficiency in Python and ML libraries/frameworks
- Familiarity with data-intensive systems and ML engineering tools
- Proactive, self-driven mindset with ownership
- Team player with excellent collaboration skills
- Enjoys working with stakeholders to solve challenges
- Comfort working in diverse, inclusive, international environment
- English as main language
- Encouraged to apply even if not meeting every requirement
Aufgaben
- Collaborate with cross-functional teams to design robust demand forecasting models
- Develop scalable and accurate forecasting models using machine learning
- Work with engineering teams to deploy models into production
- Ensure models are maintainable and responsive to evolving needs
- Engage with stakeholders to understand challenges and identify solutions
- Design models for diverse forecasting use cases
- Improve models for inventory allocation and predictive storage
- Contribute to broader research efforts
- Share insights through knowledge-sharing sessions
- Mentor and engage with the Applied Scientists community
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- LightGBM
- Scikit-learn
- Pandas
- NumPy
- PySpark
- Databricks
- AWS
- SageMaker
- S3
- Airflow
- MLflow
- CI/CD
- Docker
- Git
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad up to 30 days
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Vorteile
- Relocation assistance
- Accessible candidate experience
- Accommodations for hiring process
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Noch nicht perfekt?
- Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Zalando
Senior Principal Applied Scientist - Catalog and Search Ranking(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Zalando
Applied Scientist - Demand Forecast(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Zalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Zalando
Senior Applied Scientist - Size & Fit(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin