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Jobs · Analyst · New York

Sr. Measurement Scientist, Solution Engineering

LiveRamp · New York, NY · 4 mo ago
HybridAnalyst$172k–$202k/yrFull-time

About the role

The Sr. Solution Engineer, Measurement is a hands-on role focused on LiveRamp's full suite of measurement solutions. This role serves as LiveRamp’s pre-sales measurement authority, guiding customers through the landscape of measurement methodologies and recommending the right approach for their specific business objectives and data maturity. The role involves serving as the technical and analytical authority in competitive measurement deals, building credibility and trust that wins business.

Responsibilities

  • 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, e.g., causal AI, Bayesian media mix modeling, synthetic control methods, double machine learning, and translate them into repeatable, demonstrable solutions on LiveRamp’s platform.

  • Help create reusable technical assets (code notebooks, solution blueprints, demo scripts, analytical templates) that scale the team’s ability to address measurement use cases across the sales organization.

  • Feed product roadmap priorities from the field, collaborating with Product and Engineering to ensure our measurement products evolve in line with what customers and the market actually need.

Qualifications

  • 8+ years of progressive experience in advertising measurement, marketing analytics, or a related quantitative discipline, including meaningful time at a specialist measurement or analytics firm (e.g., VideoAmp, Neustar/TransUnion, Nielsen, Alembic, Measured, IRI/Circana, Analytic Partners) or in an advanced measurement function at a major platform, agency, or brand.

  • Deep domain expertise in measurement methodologies: incrementality / lift testing, multi-touch attribution, media mix modeling, and causal inference techniques (intent-to-treat, propensity scoring, difference-in-differences, synthetic control, Granger causality).

  • Hands-on proficiency with Python and SQL for data analysis, statistical modeling, and measurement implementation—you can open a notebook and build a working analysis, not just talk about one.

  • Working knowledge of clean room technologies (LiveRamp, Snowflake, Databricks, AWS/AMC) and identity resolution concepts as they apply to measurement and data collaboration.

  • Proven ability to engage and influence senior measurement stakeholders (VP+ level) in complex, consultative sales or advisory engagements—you’ve been the person in the room who shifts the conversation.

  • The combination of executive presence and IC drive: you’re senior enough to command credibility, but you genuinely want to build demos, write code, and work hands-on with customer data teams.

  • Exceptional communication and presentation skills—you can explain a difference-in-differences design to a CMO and a data ingestion architecture to an engineer in the same meeting.

  • Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related); Master’s degree or equivalent practical experience preferred.

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