Data Scientist

LiveRamp

full-time

Posted on: 9/21/2025

Origin: • 🇺🇸 United States • California, New York, Washington

✨ AI Apply

💰 $99,500 - $151,000 per year

Junior

AWSCloudGoogle Cloud PlatformNumpyPandasPySparkPythonScikit-LearnSparkSQL

About the role

Help lead measurement initiatives; develop KPIs and learning plans for LiveRamp customers in support of their marketing objectives.
Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers.
Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various customer use cases and verticals.
Consult and advise clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations.
Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization.
Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences; speak and present both internally and externally.
Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration.
Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships.
Work closely with product and engineering teams to support and understand the cloud infrastructure that runs the models and help design new analytical offerings.

Bachelors with 3+ years of experience or Masters with 1+ years of experience.
Strong command of probability and statistics.
Fluency in data and statistical analysis using SQL and Python.
Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.).
Understanding of cloud platforms (AWS, GCP, etc.) and relational databases.
Strong problem-solving skills.
Attention to detail and time management, producing high quality, client-ready analytic deliverables across multiple projects and client engagements.
Experience with ad-tech or curious about the ad-tech market and related measurement.
Comfortable adapting to the latest tools and curious to explore industry best practices.
Strong oral and written communication and organizational skills.
Preferred: Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement.
Preferred: Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models.
Preferred: Knowledge of Business Intelligence tools to build visualizations.
Preferred: High EQ.