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 dashboards and performance reports with a strong focus on accuracy, consistency, and explainability  Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies    Collaboration & Delivery  Work on multiple concurrent projects in a fast-paced, high-growth environment  Communicate complex findings clearly to both technical and non-technical stakeholders  Mentor junior team members and contribute to best practices across the data science function    Required Skills: Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models)  Proven experience building and productionizing ML pipelines  Advanced Python proficiency and experience with ML libraries  Strong data preparation and feature engineering skills  Experience with Snowflake and distributed data systems  Working knowledge of Unix and shell scripting  Strong analytical thinking, attention to detail, and communication skills    Qualifications:  MSc/MS in a quantitative field with 4+ years of experience  or  BSc with 7+ years of relevant experience      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. To learn more, go to https://www.zetaglobal.com.   ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases  Offices: Hyderabad, Telangana, India (Hyderabad, IND);