Senior Data Scientist – Data Cloud Acceleration

Job Summary

Zeta Global is seeking a Senior Data Scientist to join its Data Cloud Acceleration team. The role focuses on building and deploying machine learning models, analytical workflows, and supporting datasets that directly impact business decisions and client outcomes. The candidate will take ownership of end‑to‑end projects—from understanding business requirements and preparing data to modeling, validation, documentation, and delivery. They will work closely with Lead Data Scientists, application engineers, and stakeholders to translate business questions into analytical solutions and ensure the outputs are reliable, reproducible, and actionable. Key responsibilities include data profiling, cleansing, and joining; rapid model development using statistical, machine learning, or deep learning techniques; creating reusable scoring workflows and APIs; and embedding ML outputs into operational products. The role also demands rigorous evaluation of results, monitoring, documentation, and the use of AI assistants to accelerate coding and testing. The ideal candidate is a business‑oriented technologist who balances statistical rigor with practical speed, can communicate progress clearly, and applies advanced tools to enhance productivity.

Key Responsibilities

• Zeta Global is seeking a Senior Data Scientist to join its Data Cloud Acceleration team. The role focuses on building and deploying machine learning models, analytical workflows, and supporting datasets that directly impact business decisions and client outcomes. The candidate will take ownership of end‑to‑end projects—from understanding business requirements and preparing data to modeling, validation, documentation, and delivery. They will work closely with Lead Data Scientists, application engineers, and stakeholders to translate business questions into analytical solutions and ensure the outputs are reliable, reproducible, and actionable. Key responsibilities include data profiling, cleansing, and joining; rapid model development using statistical, machine learning, or deep learning techniques; creating reusable scoring workflows and APIs; and embedding ML outputs into operational products. The role also demands rigorous evaluation of results, monitoring, documentation, and the use of AI assistants to accelerate coding and testing. The ideal candidate is a business‑oriented technologist who balances statistical rigor with practical speed, can communicate progress clearly, and applies advanced tools to enhance productivity.

About the Role

This role is ideal for someone who enjoys combining strategy, content, data and execution. You will work with cross-functional teams and contribute directly to the company’s digital growth in Kolkata and surrounding areas.

Job Requirements

• Python
• Machine Learning

Required Skills