Expert in Computational Advertising Strategies
We're seeking a highly skilled individual with expertise in computational advertising strategies to optimize our bidding approaches using advanced mathematical models and machine learning techniques.
The ideal candidate will have a strong academic background in computer science, statistics, or related fields and proven experience in developing and implementing complex algorithms for optimizing advertising campaigns.
Responsibilities include:
* Designing and evolving the bidding strategy framework for contract and bidding ads considering sustainable business practices.
* Optimizing smart bidding and budget allocation/pacing strategies to maximize advertising exposure within given targets.
* Enhancing advertising campaign performance through optimization of budget fulfilment, cold start deployment, campaign stability, anti-fraud measures, and attribution analysis.
Requirements:
* Master's or Ph.D. in Computer Science, Statistics, Machine Learning, or related fields.
* Prior experience in advertising bidding, reinforcement learning, auction mechanism design, and game theory is preferred.
* Proven track record in researching and applying bidding strategy frameworks and billing mechanisms.