Principal Data Scientist, AI‑Driven Analytics

LiveRamp; San Francisco (CA); Hybrid; USD 194,000 - 228,000; Full time

Job summary

LiveRamp is seeking a Principal Data Scientist, Analytics to develop scalable data and analytics solutions that empower product and engineering teams. You’ll shape data models, pipelines, and analytics frameworks, delivering trustworthy insights and AI-powered dashboards using BigQuery and Tableau.

You’ll lead self-service analytics initiatives, mentor analysts, and own experimentation strategy, including A/B testing, to drive product decisions and business impact at scale.

Qualifications

• MS or PhD in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience in Data Science and Analytics, with a track record of delivering high-impact product insights and statistical models at scale.
• Expert-level proficiency in Python and SQL; must be comfortable navigating massive datasets in cloud environments (e.g., BigQuery) and possess hands-on experience building complex DS models and utilizing LLM models.
• Demonstrated ability to build and scale AI-powered analytics, architect and manage a modern DS stack from the ground up.
• Deep understanding of Product Analytics metrics and concepts, ideally within a SaaS or Platform environment.
• Exceptional business acumen with the ability to translate vague product questions into concrete technical concepts and roadmap, and articulate business impact to non-technical executive stakeholders.
• Advanced experience partnering with data engineers and working with dbt or similar data modeling frameworks.
• Strong commitment to analytical rigor, reproducibility, and best practices in data science workflows.
• A history of leveling up mid-to-senior analysts and data scientists and driving analytics excellence across the organization.

Responsibilities

• Design, build, and certify reusable, self-service metrics, dashboards, skills and agents, and analytical products based on business needs for stakeholders in Product and Engineering teams to independently answer complex questions and provide actionable insights.
• Partner with Product and Engineering to align strategic goals and embed analytics and decision logic directly into the product lifecycle.
• Create semantic layers, metric frameworks, and analytical abstractions that power AI-assisted insights and natural language querying.
• Develop complex analytical models, provide "so-what" deep dive analyses, and present findings to leadership for high-impact use cases.
• Own explainability, trust, and governance for AI-driven analytics experiences.
• Develop predictive, diagnostic, and causal models to understand and optimize product adoption, engagement, retention, and monetization.
• Translate ambiguous product questions into formal models and statistically sound analyses.
• Perform scenario modeling and simulation to inform roadmap and investment decisions.
• Own experimentation strategy, including A/B testing, quasi-experiments, and causal inference.
• Partner with data engineering to architect data stack, build model-ready datasets and scalable feature pipelines, and embed data operations for reproducible data science models.
• Validate models, create framework, review analytical rigor, and raise the quality bar across product analytics and data science work.

Skills

Python

SQL

BigQuery

LLM models

Data modeling

Experimentation

AB testing

Analytics leadership

Mentoring

Education

MS or PhD in Computer Science, Statistics, Mathematics, or related field

Tools

BigQuery

dbt

Tableau

Job description

LiveRamp is seeking a Principal Data Scientist, Analytics to develop scalable data and analytics solutions that empower product and engineering teams. You’ll shape data models, pipelines, and analytics frameworks, delivering trustworthy insights and AI-powered dashboards using BigQuery and Tableau.

You’ll lead self-service analytics initiatives, mentor analysts, and own experimentation strategy, including A/B testing, to drive product decisions and business impact at scale.