Principal Analytics & AI Engineer
Role Summary
As we scale our self-service analytics and AI capabilities, we’re looking for a Principal Analytics & AI Engineer to develop scalable analytics & AI solutions and frameworks, and intuitive tools that bring insights directly to business teams. The Principal Analytics & AI Engineer plays a critical role in delivering trusted, scalable analytics and AI solutions to stakeholders across the company, particularly in the Product & Engineering areas.
Key Responsibilities
AI-Powered Self Service Analytics & Insights
Design, build, and certify reusable AI-powered, self-service metrics, dashboards, agents, and analytical products based on business needs for stakeholders in Product and Engineering teams to independently answer complex questions and provide actionable insights.
Create semantic layers, metric frameworks, and analytical abstractions that power AI-assisted insights and natural language querying.
Partner with Product and Engineering to align strategic goals and embed analytics and decision logic directly into the product lifecycle.
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.
Data Science, Modeling & Experimentation
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 MLOps for reproducible data science and ML models.
Validate models, create framework, review analytical rigor, and raise the quality bar across product analytics and data science work.
Leadership
Partner with Product, Engineering, and Design teams to define and prioritize roadmap.
Mentor and lead cross-functional efforts to evangelize analytical and ML/AI best practices both within and outside the organization.
Lead complex cross-functional analytics projects.
Required Qualifications
MS or PhD in Computer Science, Statistics, Mathematics, or a related field.
10+ years of experience in Data Science, Machine Learning, with a track record of building and scaling, and deploying production-grade ML pipelines.
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 both ML models and sophisticated AI agents.
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.
Robust experience implementing MLOps best practices to ensure model reliability and scalability.
A history of leveling up mid-to-senior engineers and driving engineering excellence across the organization.
The approximate annual base compensation range is $193,500 to $227,500.
Benefits
People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.
About Us
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents.