Zalando
Principal Applied Scientist Search/NLP/IR(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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ZAZalando
Senior Principal Applied Scientist - Catalog and Search Ranking(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and deploying deep learning solutions for fashion product ranking and conversion. 8+ years of deep reinforcement learning experience required. 27-30 days holiday, up to 60% remote per week.
Requirements
- PhD in Machine Learning, Control Theory, Operations Research, or related fields, or equivalent experience
- 8+ years of industry experience in deep reinforcement learning, multi-armed bandits, or large-scale sequential decision-making systems
- Experience applied to content selection, personalization, or ranking in feed-based products
- Shaping scientific roadmap of teams in multi-area products
- Working with senior Applied Science leaders
- Discovering business opportunities collaborating with product, science, and engineering managers
- Solving business problems through scientific solutions
- Extensive track record addressing real-world problems using machine learning throughout product cycle
- Raising department and Zalando's best practice in methods, algorithms, and technology
- Expertise in architecture, design patterns, and research roadmaps
- Authority on deep learning
- Extensive track record leveraging research to advance state of the art
- Publication records
- Extensive hands-on experience in deep learning
- Proficiency in Python for RL implementations
- Proficiency in PyTorch or TensorFlow for RL implementations
- Proficiency in cloud computing platforms such as AWS
Tasks
- Address challenging fashion problems using advanced methods
- Contribute to the scientific roadmap
- Collaborate with scientists and engineers on machine learning products
- Research, deploy, and architect deep learning solutions
- Enhance customer conversion through product selection and ranking
- Develop long-term research roadmaps aligned with business goals
- Advise senior leadership on strategic investments
- Mentor and guide senior scientists
- Share knowledge within the science community
- Partner with applied science leaders and product managers
- Deliver state-of-the-art machine learning solutions
- Solve complex challenges with a scientific approach
- Communicate and align with teams and stakeholders
- Deploy, develop, implement, test, and research ML models
- Focus on personalisation, ranking, and recommendations
Work Experience
- 8 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- AWS
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
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 Principal Applied Scientist - Catalog and Search Ranking(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and deploying deep learning solutions for fashion product ranking and conversion. 8+ years of deep reinforcement learning experience required. 27-30 days holiday, up to 60% remote per week.
Requirements
- PhD in Machine Learning, Control Theory, Operations Research, or related fields, or equivalent experience
- 8+ years of industry experience in deep reinforcement learning, multi-armed bandits, or large-scale sequential decision-making systems
- Experience applied to content selection, personalization, or ranking in feed-based products
- Shaping scientific roadmap of teams in multi-area products
- Working with senior Applied Science leaders
- Discovering business opportunities collaborating with product, science, and engineering managers
- Solving business problems through scientific solutions
- Extensive track record addressing real-world problems using machine learning throughout product cycle
- Raising department and Zalando's best practice in methods, algorithms, and technology
- Expertise in architecture, design patterns, and research roadmaps
- Authority on deep learning
- Extensive track record leveraging research to advance state of the art
- Publication records
- Extensive hands-on experience in deep learning
- Proficiency in Python for RL implementations
- Proficiency in PyTorch or TensorFlow for RL implementations
- Proficiency in cloud computing platforms such as AWS
Tasks
- Address challenging fashion problems using advanced methods
- Contribute to the scientific roadmap
- Collaborate with scientists and engineers on machine learning products
- Research, deploy, and architect deep learning solutions
- Enhance customer conversion through product selection and ranking
- Develop long-term research roadmaps aligned with business goals
- Advise senior leadership on strategic investments
- Mentor and guide senior scientists
- Share knowledge within the science community
- Partner with applied science leaders and product managers
- Deliver state-of-the-art machine learning solutions
- Solve complex challenges with a scientific approach
- Communicate and align with teams and stakeholders
- Deploy, develop, implement, test, and research ML models
- Focus on personalisation, ranking, and recommendations
Work Experience
- 8 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- AWS
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
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
Fashion
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Not a perfect match?
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