Senior Data Scientist

LiveRamp

Senior Data Scientist at LiveRamp developing machine learning models for data collaboration. Collaborating cross-functionally to drive innovation in consumer privacy and data ethics.

Posted 7/2/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesSenior💰 $130,000 - $196,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning models and data science workflows, with a strong focus on data analysis, feature engineering, and performance optimization. Proficient in translating complex data insights into actionable recommendations for product and engineering teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentData Analysis and Feature EngineeringPython and SQL ProficiencyCloud Data Processing ExperienceStrong Analytical and Problem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData Science WorkflowsFeature EngineeringData ExplorationExperimentation FrameworksModel DeploymentData VisualizationCode Quality and DocumentationData-Driven Decision Making

Soft Skills

Excellent Communication SkillsMentoring and SupportProduct-Focused MindsetIterative ExecutionCollaboration

Tools & Technologies

PythonSQLPandasNumPyScikit-LearnBigQueryCloud EnvironmentsData WarehousesDashboardsVersion Control

Industry Keywords

Data ScienceMachine Learning SolutionsQuantitative AnalysisStatistical AnalysisBusiness Impact Measurement

Tech Stack

Tools & technologies

BigQueryCloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Design, implement, and iterate on production-grade machine learning and statistical models that power core identity, entity resolution, and measurement capabilities.
Analyze and transform large-scale, high-dimensional, and often messy datasets to uncover actionable insights, engineer robust features, and improve model performance and stability.
Own end-to-end data science workflows—from problem framing, data exploration, and modeling through deployment, monitoring, and continuous improvement—in close collaboration with Engineering.
Translate complex technical concepts and analysis into clear recommendations and narratives for product, engineering, and go-to-market stakeholders to inform roadmaps and prioritization.
Define and track success metrics, build experimentation and evaluation frameworks, and tests to quantify the business impact of your work.
Partner with Product Management to scope data-driven solutions that address customer needs, validate hypotheses with data, and de-risk new product investments.
Contribute high-quality, well-tested, and maintainable code, documentation, and dashboards that make your work reproducible, observable, and easy to operate.
Mentor and support other data scientists and analysts through code reviews, design sessions, and sharing best practices.

Requirements

What you’ll need

MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
3+ years of experience designing, building, and deploying data science or machine learning solutions in a production environment.
Proficiency in Python and SQL, along with experience using common data and ML libraries and frameworks (for example, pandas, NumPy, scikit-learn, or similar).
Experience working with large datasets in a cloud environment and with modern data processing frameworks or warehouses (for example, BigQuery).
Demonstrated ability to independently frame ambiguous business or product questions as concrete, testable data science problems.
Strong analytical and problem-solving skills, with a focus on clear measurement, experimentation, and data-informed decision-making.
Excellent written and verbal communication skills, including the ability to present complex technical topics to both technical and non-technical audiences.
A product-focused mindset and a strong bias toward iterative execution—you are comfortable moving from idea to prototype to production quickly while incorporating feedback.

Benefits

Comp & perks

Work with talented, collaborative, and friendly people who love what they do.
We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
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.
Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.