Senior Data Scientist

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. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.

The Role

We're seeking a Senior Data Scientist (Forecasting) to join our AI & Data Science team. You'll design, deploy, and scale models that forecast campaign performance, optimize marketing outcomes, and power product features used by the world's leading brands.

Working closely with engineering, product, and client teams, you'll turn forecasts into actionable insights and measurable business impact.

What You'll Work On

• Forecasting Models - Build and scale time-series models to predict campaign KPIs (conversions, clicks, opens), accounting for seasonality, external signals, and rare events.
• Optimization & Recommendations - Create algorithms that drive actionable recommendations (budget allocation, send-time optimization, audience targeting) to maximize revenue and retention.
• Experimentation Platforms - Design and evaluate A/B and multivariate testing frameworks with statistical rigor.
• ML Infrastructure - Partner with engineers to productionize scalable pipelines for training, serving, monitoring, and evaluation.
• Innovation - Contribute to patents, publish internal research, and share knowledge across teams.

What We're Looking For

Must-Have Skills:

• 5+ years' experience in applied Data Science / Machine Learning.
• Fluency in Python and SQL ; strong coding practices (modular, testable, clean).
• Proven track record developing and deploying ML systems at scale (forecasting, recommendation, causal inference, anomaly detection).
• Deep knowledge of statistics, time series, and experiment design .
• Ability to take projects from idea → design → production → measurable impact.
• Strong communicator who thrives in cross-functional, global teams.
• Advanced degree (MS or PhD ) in Computer Science, Statistics, Mathematics, or related field.

Nice-to-Have Skills:

• Experience with real-time ML systems , feature stores, or orchestration tools (Airflow, MLflow).
• Cloud/data stack expertise (AWS, Snowflake ).
• Background in adtech, e-commerce, or martech .
• Deployment experience with Docker, Kubernetes, GitLab CI .
• Exposure to LLMs, GenAI, or prompt engineering .

Why Join Us

• Work on high-impact ML systems powering Fortune 500 brands.
• Join a patent-driven, research-inspired culture (weekly ML paper reviews, open innovation).
• Autonomy and trust: freedom to chart your path, supported by product and engineering partners.
• Collaborative, multicultural, remote-first environment with flexible hours.
• Competitive compensation, equity, pension contributions, PTO.
• A healthy work culture: clear meeting policies, focus time, and minimal bureaucracy.

At Zeta, you'll shape the future of AI-powered marketing while building cutting-edge ML systems on a global scale.

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

People & Culture at Zeta: Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.

We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another.

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