Principal Data Scientist, Analytics

About the role

LiveRamp is seeking a Principal Data Scientist, Analytics to design and deliver scalable analytics solutions that empower product and engineering teams with self‑service insights and AI‑driven decision tools.

Key responsibilities

• Design, build, and certify reusable self‑service metrics, dashboards, and AI agents for product and engineering stakeholders.
• Create semantic layers, metric frameworks, and analytical abstractions to enable natural‑language querying and AI‑assisted insights.
• Develop predictive, diagnostic, and causal models to optimize product adoption, engagement, retention, and monetization.
• Own experimentation strategy, including A/B testing, quasi‑experiments, and causal inference.
• Partner with data engineering to architect the data stack, build model‑ready datasets, and ensure reproducible data science workflows.

Required profile

• MS or PhD in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience delivering high‑impact product insights and statistical models at scale.
• Proven ability to translate ambiguous product questions into concrete analytical solutions and communicate impact to executive stakeholders.
• Strong commitment to analytical rigor, reproducibility, and best practices in data science.

Required skills

• Python
• SQL
• BigQuery
• Tableau
• dbt (or similar data‑modeling frameworks)
• Large language model (LLM) integration