Senior Principal Applied Scientist - ZMS (all genders)
Tasks
- Advance auction and mechanism design capabilities
- Drive scientific and execution roadmap for ad tech bidding optimization
- Lead research and development of real time bidding and allocation algorithms
- Mentor and grow senior team members
- Translate business constraints into mathematical objective functions
Perks/Benefits
- Discounts
- Employee shares
- Health and wellbeing support
- Hybrid work
- Mental health support
- Paid volunteering days
- Relocation assistance
- Remote work
- Training platform
Skills/Tech-stack
Auction theory | Bayesian Inference | Control Theory | Data Pipelines | Distributed Systems | Game theory | Machine Learning | Mechanism design | Multi-Objective Optimization | Objective optimization | Optimization | Python | Reinforcement Learning | Value-Based Bidding | Value-based
Education
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