Senior Data Scientist — Data Cloud Acceleration

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. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com .

About the team

The Data Cloud Acceleration team identifies gaps and opportunities across clients and business units, then moves quickly to deliver practical new capabilities. We often develop and deploy the first version of a model, workflow, dataset, or application in days or weeks, learn from real usage, and improve it iteratively.

We are business-minded technologists who care more about impact than technical novelty. We use sophisticated methods when the problem requires them and simpler approaches when they will deliver a better result faster. Our work should be predictable, demoable, trusted, reusable, measured, and amplified by AI.

About the role

The Senior Data Scientist will build models, analyses, and supporting ML components that improve business decisions, intelligence products, and client outcomes. You will independently own defined deliverables—from understanding the requirement and preparing the data through modeling, validation, documentation, and delivery.

This is a hands-on individual contributor role. You will work across varied revenue and intelligence initiatives, often in partnership with a Lead Data Scientist, application engineers, analysts, and business stakeholders. The right candidate can move quickly without sacrificing trustworthiness and knows how to balance statistical rigor with the practical needs of the business.

What you’ll do

What ownership looks like at this level

You are expected to own the deliverable . That means:

You will receive guidance on broader product direction, methodology, and complex stakeholder decisions, but you should not require step-by-step direction to complete the work.

Experience that can set you up for success

These are useful indicators rather than absolute requirements: