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Principal Applied Scientist(m/w/x)
Leading R&D for real-time bidding and allocation algorithms in a fashion e-commerce marketing unit. Expertise in productionizing ultra-low latency ML models and deep optimization theory required. Employee shares program, 40% fashion discount, 2 paid volunteering days.
Requirements
- Proven track record of research excellence
- At least 7 years of experience in optimizing complex systems
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning
- Expert knowledge of productionalizing ML models within ultra-low latency constraints
- Strong proficiency in Python and related stack
Tasks
- Lead research and development of real-time bidding and allocation algorithms
- Optimize for long-term platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure a fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate complex business constraints into mathematical objective functions
- Drive the long-term scientific and execution roadmap for ZMS Ad Tech
- Foster a culture of technical excellence
- Mentor and grow senior team members
Work Experience
- 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model
- Flexible hours
Workation & Sabbatical
- Work from abroad for up to 30 days a year
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support and coaching
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Principal Applied Scientist(m/w/x)
Leading R&D for real-time bidding and allocation algorithms in a fashion e-commerce marketing unit. Expertise in productionizing ultra-low latency ML models and deep optimization theory required. Employee shares program, 40% fashion discount, 2 paid volunteering days.
Requirements
- Proven track record of research excellence
- At least 7 years of experience in optimizing complex systems
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning
- Expert knowledge of productionalizing ML models within ultra-low latency constraints
- Strong proficiency in Python and related stack
Tasks
- Lead research and development of real-time bidding and allocation algorithms
- Optimize for long-term platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure a fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate complex business constraints into mathematical objective functions
- Drive the long-term scientific and execution roadmap for ZMS Ad Tech
- Foster a culture of technical excellence
- Mentor and grow senior team members
Work Experience
- 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model
- Flexible hours
Workation & Sabbatical
- Work from abroad for up to 30 days a year
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support and coaching
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Zalando Marketing Services GmbH
Industry
Other
Description
Zalando Marketing Services is a marketing unit for Zalando's brand partners, offering diverse products across multiple channels for advertising objectives.
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