Zeta Global

Senior Data Scientist

Bengaluru, Karnataka Hyderabad, Telangana
Snowflake Hive Athena Python AWS EC2 EMR S3 Airflow Shell Random Forest GBM Neural Networks Ensemble Models
Description

Senior Data Scientist

Location: Bengaluru, Karnataka, India; Hyderabad, Telangana, India

Department: Data Science & Analytics

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 accuracyconsistency, 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 

Zeta Global
Zeta Global

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