Senior Data Scientist - E-Commerce

WHO WE ARE

Zeta Global (NYSE: ZETA) is the

AI -Powered

Marketing

Cloud that leverages advanced artificial

intelligence

( AI ) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta

Marketing

Platform (ZMP), our vision is to make sophisticated

marketing

simple by unifying

identity

,

intelligence

, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and

AI

. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for

marketing

programs. 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.
Propensity Modelling

: How do you use the rich data we have about users to make predictions? How do you handle conversion events that are extremely rare, such as purchasing a car? How do you take into account pacing for hour of day, day of week, and special holidays like Thanksgiving and Christmas?

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A/B Testing

: How do you ensure that the comparison will be fair? CLTV & Churn Prediction:

How do you define target variable to represent churn event? How do you translate customer journey to useful model features?

Fluent in Python and SQL

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Have industry experience with developing and deploying practical machine learning models

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Experienced with building enterprise grade machine learning and data platforms

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Preferably Possessing a Master’s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics etc.).

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An excellent oral and written communication in English, passionate about interacting with other engineers to help them understand and use your systems

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Independent engineer, capable of owning projects from an idea to design and final implementation

Experience in building

and GRPC APIs

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Experience in an e-commerce or digital advertising technology business

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Familiarity with agile and working in a remote & asynchronous team

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.