Senior Data Scientist - Measurement

About the role

You'll own the science and engineering behind LiveRamp's measurement pipeline - the system that our customers rely on to understand the true impact of their media spend. You'll work at the intersection of causal inference, large-scale data engineering, and product delivery, shipping PySpark measurement logic that runs inside privacy-preserving cleanrooms on LiveRamp.

Responsibilities

• Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
• Work hand-in-hand with our engineering team to design and implement models that measure ad performance across large, disparate datasets.
• Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL, pandas-based and Pyspark workflows, and then drive those prototypes into production.
• Extend a well-structured codebase that leverages Python class abstractions and modular pipeline design; write clean, testable measurement logic.
• Troubleshoot or maintain internal models by understanding the key ingredients and underlying assumptions of the models.

Requirements

• Masters with 5-8 plus years experience or PhD 2+ years experience in a data science related field (eg. Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline).
• Strong proficiency in Python (pandas, PySpark) and SQL for working with large, complex datasets across distributed environments.
• Solid statistical foundation - regression, classification, time-series, sampling, and selection bias correction; hands-on experience designing and analyzing experiments (A/B, holdout, geo-tests) and applying causal inference methods.
• Experience with modern data and analytics frameworks (Spark, Jupyter, Airflow) and cloud environments (AWS or GCP).
• Experience building, prototyping, and productionizing statistical or ML-based models - translating research into robust, maintainable production workflows.
• Familiarity with digital advertising measurement concepts (attribution, reach, ROAS, conversion modeling) or strong curiosity to learn ad-tech measurement, able to translate complex measurement insights into clear, actionable recommendations for technical and non-technical stakeholders - including product teams, and internal/external customers.
• Comfortable collaborating across technical stakeholders - data engineers, solution, architects, and product managers - with strong written and verbal communication skills.
• Strong problem-solving mindset: first-principles thinker, intellectually curious, rigorous, and adaptable to evolving tools and industry best practices.
• Proficiency using AI coding assistants and LLM-based tools (such as Claude, Cursor, or GitHub Copilot) to accelerate research, prototyping, and code development; ability to write effective prompts and critically evaluate AI-generated outputs.

Qualifications

• Experience in adtech, martech, or digital marketing analytics, including topics such as addressable media, identity resolution, attribution, or media measurement.
• Familiarity with privacy preserving data environments - data platforms, clean rooms, or data collaboration environments.
• Familiarity with retail / CPG data - store banners, product hierarchies, transaction-level datasets, and experience with privacy-preserving data environments (clean rooms, k-anonymity, aggregation thresholds) or large disparate datasets spanning impressions, transactions, and audiences.

Skills

• Statistical and Machine Learning Techniques
• Data Engineering and Data Modeling
• Python and SQL
• Modern Data and Analytics Frameworks
• Cloud Environments (AWS or GCP)
• Collaboration Across Technical Stakeholders
• AI Coding Assistants and LLM-based Tools

Benefits

The approximate annual base compensation range is $130,000 to $196,500. 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.

Benefits People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: 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.

Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.

More About Us: 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. And 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.