Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ZAZalando
Senior Applied Scientist - Demand Forecasting(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- LightGBM
- Scikit-learn
- Pandas
- NumPy
- PySpark
- Databricks
- AWS
- SageMaker
- S3
- Airflow
- MLflow
- CI/CD
- Docker
- Git
Benefits
More Vacation Days
- 27 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad up to 30 days
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- Relocation assistance
- Accessible candidate experience
- Accommodations for hiring process
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- 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
Senior Applied Scientist - Demand Forecasting(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- LightGBM
- Scikit-learn
- Pandas
- NumPy
- PySpark
- Databricks
- AWS
- SageMaker
- S3
- Airflow
- MLflow
- CI/CD
- Docker
- Git
Benefits
More Vacation Days
- 27 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad up to 30 days
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- Relocation assistance
- Accessible candidate experience
- Accommodations for hiring process
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- 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.
Not a perfect match?
- Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Applied Scientist - Demand Forecast(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Zalando
Senior Principal Applied Scientist - Catalog and Search Ranking(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zalando
Applied Scientist - ZEOS Data Science and Algorithms(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Zalando
Senior Applied Scientist - Size & Fit(m/w/x)
Full-timeWith HomeofficeSeniorBerlin