Principal Data Scientist, Analytics
About The Position
LiveRamp is seeking a Principal Data Scientist, Analytics to develop scalable data and analytics solutions, frameworks, and intuitive tools that bring insights directly to business teams. The role delivers trusted analytics solutions across the company, particularly within Product and Engineering, and works closely with architects and data engineers to shape data models, pipelines, and analytics and data science frameworks. These foundations support high-impact dashboards and predictive and prescriptive analytics. The position also designs user-centric tools that help teams explore data and make better decisions using platforms such as BigQuery, AI agents, and Tableau. The role develops self-service analytics products, semantic layers, metric frameworks, and AI-assisted insights; builds predictive, diagnostic, and causal models; and leads experimentation and analytical rigor. It partners across Product, Engineering, and Design to shape roadmaps, leads complex cross-functional projects, and mentors colleagues in analytics and data science best practices.
Requirements
- MS or PhD in Computer Science, Statistics, Mathematics, or a 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.
- Comfort navigating massive datasets in cloud environments such as BigQuery.
- Hands-on experience building complex data science models and using LLM models.
- Demonstrated ability to build and scale AI-powered analytics and architect and manage a modern data science stack from the ground up.
- Deep understanding of Product Analytics metrics and concepts.
- Exceptional business acumen, including the ability to turn vague product questions into concrete technical concepts and roadmaps 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 data science workflow best practices.
- History of developing mid-to-senior analysts and data scientists and driving analytics excellence across an organization.
Nice To Haves
- Experience with Product Analytics in a SaaS or Platform environment.
Responsibilities
- Design, build, and certify reusable self-service metrics, dashboards, skills, agents, and analytical products that enable Product and Engineering stakeholders to answer complex questions independently.
- Partner with Product and Engineering to align analytics with strategic goals and embed analytics and decision logic into the product lifecycle.
- Create semantic layers, metric frameworks, and analytical abstractions for AI-assisted insights and natural-language querying.
- Develop complex analytical models, conduct in-depth 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 the data stack, build model-ready datasets and scalable feature pipelines, and embed data operations for reproducible data science models.
- Validate models, create frameworks, review analytical rigor, and raise quality across product analytics and data science work.
- Partner with Product, Engineering, and Design teams to define and prioritize the roadmap.
- Mentor and lead cross-functional efforts to promote analytical and data science/AI best practices within and outside the organization.
- Lead complex cross-functional analytics projects.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
