Zalando
Applied Scientist - Merchandise Integrity(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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ZAZalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Other Benefits
- Relocation assistance
Family Support
- Family services including counseling and support
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support and coaching
Mentorship & Coaching
- Training platform and biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ZAZalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model with up to 60% remote
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Other Benefits
- Relocation assistance
Family Support
- Family services including counseling and support
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support and coaching
Mentorship & Coaching
- Training platform and biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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