Applied Scientist

Bazaar Advertising is one of Bazaar’s fastest-growing and most profitable businesses, responsible for delivering millions of impressions and clicks every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence. Computational Advertising has emerged as a new interdisciplinary field that involves statistics, machine learning, operations research, and micro-economics, to solve challenging problems that arise in online advertising. The central problem of computational advertising is to select an optimized set of eligible ads for a user-context pair to maximize a total utility function that captures the expected revenue, user experience, and return on investment for advertisers. Bazaar is innovating rapidly in this space to grow its share of this market by providing the advertising industry with a state-of-the-art online advertising platform and services. The ads team is at the core of this effort, responsible for the research & development of all the algorithmic components in our advertising technology stack, including:
User/query intent understanding, document/ad understanding, user targeting
User response (click & conversion) prediction using large-scale machine learning algorithms
Ads Trust & Safety: Ads Editorial, Network protection, fraud detection, traffic quality measurement
Marketplace mechanism design and optimization, and whole-page experience optimization
Personalization
Innovative new ad products
Advertising metrics and measurement, including relevance and ad campaign effectiveness
Supply-demand forecasting
Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.

Responsibilities:
We are looking for an Applied Scientist with a deep R&D background to conduct research and development on an intelligent advertising system to mine and learn actionable insights from large-scale data and signals we collect from user queries and online activities, advertiser-created campaigns and their performances, and myriad responses from the parties touched by the system in Bazaar ads ecosystem. The person will play a key role in driving algorithmic and modeling improvement to the system, analyzing performance and identifying opportunities based on offline and online testing.

Benefits:

• Flexible working hours
• Talented colleagues and an interesting work environment
• Supplementary health insurance
• Interesting loans to employees
• Various on-site entertainments