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Senior Principal Applied Scientist - ZMS(m/w/x)
Driving scientific vision for bidding and allocation engines in ultra-low latency environments. PhD in Machine Learning with publications and industry experience required. 27-30 days holiday, up to 60% remote per week.
Requirements
- PhD in Machine Learning with publications and industry experience
- Research excellence with publications in Computational Advertising, Auction Theory, Mechanism Design, or Game Theory, or equivalent applied industry impact
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning for bidding and budget pacing
- Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems
- Strong proficiency in Python and related stack, with scalable data pipeline architecture for sparse, high-dimensional advertising data
Tasks
- Drive scientific vision for Bidding and Allocation engines
- Lead optimization efforts in high-load, low-latency environments
- Develop real-time bidding and allocation algorithms
- Optimize platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate business constraints into mathematical functions
- Drive long-term scientific and execution roadmap
- Foster culture of technical excellence
- Mentor and grow senior team members
- Act as force multiplier for scientific community
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
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
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Senior Principal Applied Scientist - ZMS(m/w/x)
Driving scientific vision for bidding and allocation engines in ultra-low latency environments. PhD in Machine Learning with publications and industry experience required. 27-30 days holiday, up to 60% remote per week.
Requirements
- PhD in Machine Learning with publications and industry experience
- Research excellence with publications in Computational Advertising, Auction Theory, Mechanism Design, or Game Theory, or equivalent applied industry impact
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning for bidding and budget pacing
- Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems
- Strong proficiency in Python and related stack, with scalable data pipeline architecture for sparse, high-dimensional advertising data
Tasks
- Drive scientific vision for Bidding and Allocation engines
- Lead optimization efforts in high-load, low-latency environments
- Develop real-time bidding and allocation algorithms
- Optimize platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate business constraints into mathematical functions
- Drive long-term scientific and execution roadmap
- Foster culture of technical excellence
- Mentor and grow senior team members
- Act as force multiplier for scientific community
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Zalando Marketing Services GmbH
Industry
Retail
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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