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Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Developing ML/DL forecasting and stochastic inventory optimization for an exclusive online fashion/lifestyle shopping club. 3+ years industry experience in Applied Science/Data Science with ML/DL/OR expertise required. Employee shares program, 40% fashion/beauty discount, 2 paid volunteering days.
Anforderungen
- Educational background in a quantitative field, Masters degree or higher preferred
- 3+ years of hands-on industry experience in Applied Scientist, Data Scientist, or Research Scientist role
- Industry demonstrated knowledge in Machine Learning or Deep Learning, Machine Learning Engineering, or Operations Research and Optimization
- Proficiency in SQL and experience with large-scale datasets
- Strong communication skills to explain complex scientific concepts
- Entrepreneurial mindset and ability to balance research with pragmatism
- Passion for learning and growing by doing
- Excellent communication skills and openness to feedback
Aufgaben
- Build ML/DL forecasting models for demand, returns, and lead-times
- Develop stochastic inventory optimization solutions
- Create recommendation services for inventory insights
- Collaborate with product and user research to define problems
- Influence the product roadmap with scientific expertise
- Tackle complex challenges in inventory optimization and demand forecasting
- Design and implement recommender systems for assortment planning
- Own projects from research and prototyping to production
- Define success metrics and collaborate with engineers for deployment
- Monitor the real-world impact of models on partner KPIs
- Develop platform-level services for multiple partners
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services including counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support and coaching
Mentoring & Coaching
- Training platform and biannual peer-to-peer review
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Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Developing ML/DL forecasting and stochastic inventory optimization for an exclusive online fashion/lifestyle shopping club. 3+ years industry experience in Applied Science/Data Science with ML/DL/OR expertise required. Employee shares program, 40% fashion/beauty discount, 2 paid volunteering days.
Anforderungen
- Educational background in a quantitative field, Masters degree or higher preferred
- 3+ years of hands-on industry experience in Applied Scientist, Data Scientist, or Research Scientist role
- Industry demonstrated knowledge in Machine Learning or Deep Learning, Machine Learning Engineering, or Operations Research and Optimization
- Proficiency in SQL and experience with large-scale datasets
- Strong communication skills to explain complex scientific concepts
- Entrepreneurial mindset and ability to balance research with pragmatism
- Passion for learning and growing by doing
- Excellent communication skills and openness to feedback
Aufgaben
- Build ML/DL forecasting models for demand, returns, and lead-times
- Develop stochastic inventory optimization solutions
- Create recommendation services for inventory insights
- Collaborate with product and user research to define problems
- Influence the product roadmap with scientific expertise
- Tackle complex challenges in inventory optimization and demand forecasting
- Design and implement recommender systems for assortment planning
- Own projects from research and prototyping to production
- Define success metrics and collaborate with engineers for deployment
- Monitor the real-world impact of models on partner KPIs
- Develop platform-level services for multiple partners
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services including counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support and coaching
Mentoring & Coaching
- Training platform and biannual peer-to-peer review
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.
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