Zalando

e-commerce

SeniorPrincipalAppliedScientistZMS

Berlin, Germany FULL TIME Remote Friendly
The Brief

“Senior Principal Applied Scientist - ZMS at Zalando. Skills: Machine Learning, Auction Theory, Mechanism Design, Optimization. Lead research and development of bidding and allocation algorithms. Optimize for platform health, advertiser performance, user relevance”

What You'll Achieve.

Optimizing for long-term platform health; Advertiser performance; User relevance; Fair, efficient, and transparent marketplace

Industry & Context.

e commerce
Problems you'll solve

Translate complex business constraints into mathematical objective functions

What They're Looking For.

Must Have

PhD in Machine learning, 10+ years of experience in optimizing complex systems through automated algorithms, Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing, Expert knowledge of productionalizing ML models within ultra-low latency constraints, Experience with large-scale distributed systems, Proficiency in Python and related stack, Solid understanding of how to architect scalable data pipelines for sparse, high-dimensional advertising data

Nice to Have

Track record of publications and industry experience, Proven track record of research excellence, evidenced by peer-reviewed publications in relevant fields such as Computational Advertising, Auction Theory, Mechanism Design, or Game Theory, Equivalent applied industry impact track

What You'll Do.

Lead research and development of bidding and allocation algorithms

Optimize for platform health

advertiser performance

Advance Auction and Mechanism Design capabilities

transparent marketplace

Collaborate with Product Managers

Translate business constraints into mathematical objective functions

Drive scientific and execution roadmap for ZMS Ad Tech Bidding Optimization

Foster culture of technical excellence

Mentor and grow senior level members of the team

How You'll Work.

Team & Collaboration

Collaborate with Product Managers, Engineers, and Analysts; Drive the long-term scientific and execution roadmap in collaboration with Engineers and ML Scientists

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