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 www.zetaglobal.com .   ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases