Senior Data Scientist, Zeta Global

• 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

Desirable

• 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
• 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