SAN FRANCISCO, United States of America
Onsite
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 is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. 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.

Staff Data Scientist
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 is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. 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.
You will:
Design and deploy advanced machine learning models, entity resolution techniques, and graph algorithms to enhance the accuracy and reach of our identity graphs.
Mine and manipulate large, complex datasets to discover latent patterns, generate high-dimensional embeddings, and improve our data collaboration product capabilities.
Partner closely with Data Engineering and Infrastructure teams to translate sophisticated mathematical and ML concepts into highly optimized, distributed production pipelines (e.g., BigQuery, Spark).
Provide technical guidance to a team of Data Scientists, ML Engineers and Software Engineers, modeling data science best practices.
Work closely with Product Management, Engineering, and Data Science teams to translate ambitious product requirements into actionable, high-impact data science problems to solve.
Your team will:
Work on multiple data science problems, including Identity solutions, agentic solutions and other customer facing products.
About you:
MS or PhD in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience).
5+ years designing and building large scale data science models in a production setting.
Excellent written and verbal communication for both technical and non-technical audiences; strong influence skills across teams.
Proficiency with Python and SQL and relevant ML libraries.
Experience with Cloud Platforms such as GCP.
A product-focused mindset and a strong bias for an iterative execution - you move quickly from idea to prototype to production.
Preferred Skills:
Experience with embedding and vector search at scale.
Experience designing robust evaluation framework metrics.
Ability to look at raw data assets and abstractly visualize how they can be leveraged, combined, or transformed to build net-new capabilities for the business.
GCP + Vertex AI (Gemini) experience.
Knowledge of privacy-preserving data practices and governance.
The approximate annual base compensation range is $200,000 to $235,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
#LI-AH1
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. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. 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.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.