Senior Data Scientist
About The Position
The machine learning team sits at the heart of our technology and delivers on the core brand promise of bringing rocket science to make advertising more rational and effective. Zeta Global’s technology platform supports a real-time bidding system that handles over 100 billion events every day, a reporting system that aggregates and analyzes terabytes of data in real-time, and a learning system that applies machine learning and artificial intelligence techniques to over 40 petabytes of data. These systems all work in harmony so that Zeta Global can serve the right advertisement to the right user at the right time. The Artificial Intelligence and Machine Learning team’s work sits at the core of our technology as the key decision-making agent for our systems. We research and develop the algorithms and models that make our software intelligent, as well as design, implement, and maintain the code that powers our production systems.
Requirements
- Fluent in Python and SQL
- Ability to write clean, concise, modular and testable code
- Industry experience with developing and deploying practical machine learning models
- Experienced with building enterprise grade machine learning and data platforms
- Excellent oral and written communication in English
- Passionate about interacting with other engineers to help them understand and use your systems
- Independent engineer, capable of owning projects from an idea to design and final implementation
Nice To Haves
- Experienced with build automation technologies like Gitlab CI
- Experienced with orchestration technologies like Docker and Kubernetes
- Experience in building HTTP and GRPC APIs
- Experience with services like Spark, HDFS
- Experience in an e-commerce or digital advertising technology business
- Familiarity with agile and working in a remote & asynchronous team
Responsibilities
- Research and develop algorithms and models that make software intelligent.
- Design, implement, and maintain code that powers production systems.
- Address problems such as propensity modeling, bidding strategies, A/B testing, and CLTV & churn prediction.
Benefits
- Compensation and role depending on experience
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What This Job Offers
Job Type
Full-time
Career Level
Senior
