Senior Data Scientist

Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance. This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment. Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility) Key Responsibilities Data Engineering & ETL Lead the design and development of scalable ETL pipelines across platforms such as Snowflake / Hive, Athena Partner with cross-functional teams to optimize data architecture and workflows Machine Learning & AI Development Design, develop, evaluate, and deploy ML/AI models in production environments Build scalable ML pipelines for training, validation, deployment, and scoring Develop advanced predictive models and recommendation engines Optimize model performance through experimentation, feature engineering, and ensemble techniques Implement automation frameworks to improve productivity and reproducibility Cloud & Distributed Systems Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena Build and maintain robust workflows in distributed computing environments Analytics, Reporting & Marketing Automation Generate client-facing modeling insights dashbo