Senior Data Scientist

Responsibilities

• Design, develop, and deploy ML/AI models in production environments, including predictive models and recommendation engines
• Build and scale end-to-end ML pipelines for training, validation, deployment, and scoring
• Lead the design and development of scalable ETL pipelines using Snowflake, Hive, or Athena
• Optimize model performance through advanced feature engineering, experimentation, and ensemble techniques
• Leverage AWS technologies (EC2, EMR, S3, Airflow) to maintain robust workflows in distributed computing environments
• Generate client-facing modeling insights, dashboards, and performance reports
• Mentor junior team members and communicate complex technical findings to stakeholders

Requirements

• Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, neural networks, ensemble models)
• Proven experience building and productionizing ML pipelines
• Advanced Python proficiency and experience with standard ML libraries
• Experience with Snowflake and distributed data systems
• Working knowledge of Unix and shell scripting
• Strong analytical thinking and communication skills
• MSc in a quantitative field with 4+ years of experience, or a BSc with 7+ years of relevant experience

About the Company

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to help marketers acquire, grow, and retain customers. Through the Zeta Marketing Platform (ZMP), we unify identity, intelligence, and omnichannel activation into a single platform powered by one of the industry’s largest proprietary databases.