Sr. Measurement Scientist, Solution Engineering

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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. Marketing measurement is changing fast! Signal loss, channel fragmentation, walled gardens, and the deprecation of identifiers have disrupted legacy solutions. But, the rise of AI & agentic tooling, clean room technology, and alternative methodologies offer new opportunities to answer the age-old question: what is actually working? LiveRamp is uniquely positioned to power this evolution. Our identity graph, data collaboration infrastructure, partner ecosystem and cross-screen data assets form the foundation for a new generation of privacy-safe, deterministic measurement. We need a measurement expert who can bring that vision to life for our customers. We're hiring a Sr. Solution Engineer, Measurement to join our pre-sales team as a dedicated measurement subject matter expert. This is a hands-on role focused on LiveRamp's full suite of measurement solutions. You'll operate at the intersection of data science and customer engagement: advising senior measurement stakeholders on methodology, architecting measurement solutions on our platform, building rapid prototypes and experiments, and helping shape the future of LiveRamp's measurement strategy through field-level insight and innovation. Think of this role as LiveRamp's measurement field scientist , someone who combines deep expertise in incrementality, attribution, media mix modeling, and causal inference with the technical skills to implement these approaches using real data and code, and the executive presence to make the case to the people who control measurement budgets. You will: Measurement Advisory & Consultative Sales Serve as LiveRamp's pre-sales measurement authority, guiding customers through the landscape of measurement methodologies-incrementality / lift testing, multi-touch attribution, media mix modeling, causal AI, and hybrid frameworks-and recommending the right approach for their specific business objectives and data maturity Lead technical discovery and white-boarding sessions with senior measurement stakeholders (VPs of Analytics, Heads of Measurement, Data Science Leads, agency measurement teams) to diagnose challenges and design LiveRamp-powered solutions Translate complex measurement concepts-intent-to-treat analysis, propensity scoring, difference-in-differences, synthetic control, test/control design-into narratives that resonate with both technical and C-level audiences Partner with Sales as the technical and analytical authority in competitive measurement deals, building the credibility and trust that wins business Solution Design & Data Architecture Design end-to-end measurement solutions leveraging LiveRamp's Cross-Screen Measurement product, identity graph (RampID), and clean room technology across customer verticals. Advise customers on the data infrastructure and data science requirements to execute measurement at scale: clean room configuration, identity resolution workflows, first-party data onboarding, log-level data access, and analytical environment setup Provide technical guidance on implementation trade-offs: Python vs. SQL for analytical workloads, in-platform computation vs. data export, deterministic vs. modeled measurement approaches, and privacy-safe data collaboration workflows Produce detailed technical scoping documents, reference architectures, and implementation plans that bridge the pre-sales promise to post-sales delivery, ensuring seamless handoffs to Customer Success, Technical Solutions and Data Science teams. Prototyping, Demos & Innovation Build working prototypes, proof-of-concepts, and demo environments that bring LiveRamp's measurement capabilities to life. Demonstrate causal inference workflows, incrementality analyses, and cross-screen attribution models within our clean room and identity infrastructure. Experiment with emerging measurement techniques, ex. causal AI, Bayesian media mix modeling, synthetic control methods, double machine learning, and translate them into repeatable, demonstrable solutions on LiveRamp's platform Help