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Principal Analytics & ML Engineer

MSCCN - San Francisco, CA

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Job Description

LiveRamp is the data collaboration platform of choice for the worldu2019s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use casesu2014within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. The Principal Analytics & ML Engineer plays a critical role in delivering trusted, scalable analytics and ML solutions to stakeholders across the company, particularly in the Product & Engineering areas. Working closely with architects and data engineers, youu2019ll help shape data models and pipelines and build ML / AI frameworks that serve as the foundation for high-impact dashboards and predictive and prescriptive analytics. Youu2019ll design user-centric tools that empower teams to explore data, gain insights, and make better decisions u2014 powered by platforms like BigQuery, AI, ML, and Tableau. You will: + Architect and manage the modern DS/ML/AI stack for scalable, reproducible data science and ML models. + Build reusable agentic frameworks/pipelines, and lead the development and certification of internal agents to automate analytical workflows. + Develop complex analytical/ML models, provide

Created: 2026-04-04

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