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About the Role

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. This role plays a critical part in delivering trusted, scalable analytics and AI solutions to stakeholders, particularly in Product & Engineering. You will shape data models and pipelines, build Analytics / AI frameworks, and design user-centric tools powered by platforms like BigQuery, AI, ML, and Tableau.

Responsibilities

Design, build, and certify reusable AI-powered, self-service metrics, dashboards, agents, and analytical products.
Create semantic layers, metric frameworks, and analytical abstractions for AI-assisted insights and natural language querying.
Partner with Product and Engineering to align strategic goals and embed analytics and decision logic into the product lifecycle.
Develop complex analytical models, provide deep-dive analyses, and present findings to leadership.
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 MLOps.
Validate models, create frameworks, review analytical rigor, and raise the quality bar across product analytics and data science work.
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.
Lead complex cross-functional analytics projects.

Requirements

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.
Comfortable navigating massive datasets in cloud environments (e.g., BigQuery).
Hands-on experience building both ML models and sophisticated AI agents.
Demonstrated ability to build, architect, and manage a modern DS/ML/AI 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.
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.
Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

Skills

Python
SQL
BigQuery
AI
ML
Tableau
dbt

Location

San Francisco, California

Work Type

Full-time

Experience Level

10+ years of experience

Education Level

MS or PhD

Salary/Compensations

$193,500 to $227,500

Benefits

Flexible paid time off
Paid holidays
Options for working from home
Paid parental leave
Medical
Dental
Vision
Life and disability insurance
Employee assistance program
Voluntary benefits
Perks programs for healthy lifestyle and career growth
401K matching plan (1:1 match up to 6% of salary)

About the Company

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies.
A groundbreaking leader in consumer privacy, data ethics, and foundational identity.
LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within 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.
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.
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.
LiveRamp is based in San Francisco, California with offices worldwide.

Equal Opportunity

LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status.
We use automated decision systems (ADS) as part of our recruitment and hiring process.
We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.