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Senior Data Scientist
LiveRampSenior 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
Tech Stack
Tools & technologiesBigQueryCloudNumpyPandasPythonScikit-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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
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