An opportunity to join an energetic, growing, VC backed startup who are revolutionizing the Adtech space using proprietary methods and by bringing real-time content and advertising to static programs, dramatically boosting revenue and engagement.
You have applied Machine Learning methods for third party advertisement at a high-tech, Adtech or e-commerce organization.
- Responsible for creation, test, and deployment of next-generation data science and optimization tools within display advertisement platform running billions of real-time transactions per day
- New core ML pipeline for real-time bidding for advertisers; ML models for view and completion predictions for video ads.
- Provide technical direction to the team towards increasing Revenue
- Develop algorithms to increase Revenue and work with the team to implement them
- Analyze data to provide insights to drive algorithm development
- Develop subsystems necessary for Revenue Optimization
WHAT YOU NEED TO SUCCEED:
● 3+ years’ experience in an ad network/exchange building recommendation system for advertising across multiple publishers and advertisers
● Experience in building systems using Spark, Redshift, Kafka or similar technologies
● Experience in scaling recommender systems to handle magnitude increases in traffic
● Experience in analyzing large volume of advertising data to create new algorithm and deliver business insights
● Understand the principles of ad serving, analytics, programmatic, RTB / DSPs / SSPs / DMPs
● Deep knowledge of common ad serving and supply side programmatic systems, such as Google DFP/AdX, AppNexus, OpenX, Rubicon
● Excellent social skills with a proven ability to overcome objections and form trusting relationships with external clients and internal stakeholders
The role will pay competitively with a base, bonus, and stock component.