Sr. Measurement Scientist, Solution Engineering

LiveRampNew York, NY
$171,500 - $201,500

About The Position

LiveRamp is seeking a Sr. Solution Engineer, Measurement to join their pre-sales team as a dedicated measurement subject matter expert. This role focuses on LiveRamp’s measurement solutions, operating at the intersection of data science and customer engagement. Responsibilities include advising senior measurement stakeholders on methodology, architecting measurement solutions on the LiveRamp platform, building rapid prototypes and experiments, and contributing to LiveRamp’s measurement strategy through field insights. The role requires deep expertise in incrementality, attribution, media mix modeling, and causal inference, combined with technical skills for implementation and executive presence for client interactions.

Requirements

  • 8+ years of progressive experience in advertising measurement, marketing analytics, or a related quantitative discipline.
  • 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.
  • 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.
  • Combination of executive presence and IC drive.
  • Exceptional communication and presentation skills.
  • Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).

Nice To Haves

  • Master’s degree or equivalent practical experience.
  • Direct experience with cross-screen or multi-touch TV measurement (linear, CTV/OTT, digital video) and relevant data sources (ACR data, set-top box, smart TV, server-side ad insertion).
  • Experience applying causal AI or machine learning to marketing measurement (e.g., Bayesian structural time series, double ML, causal forests, spiking neural networks, graph-based causal models).
  • Familiarity with LiveRamp’s identity infrastructure, RampID, and data collaboration platform.
  • Experience in a pre-sales, solutions engineering, or technical consulting role within AdTech or MarTech.
  • Knowledge of data privacy regulations (GDPR, CCPA/CPRA) and their implications for measurement, identity, and data collaboration.
  • Familiarity with major cloud data platforms (Snowflake, Databricks, BigQuery, AWS, Azure) and their role in measurement data infrastructure.
  • Track record of measurement-related thought leadership: white papers, conference talks, blog posts, or published research.

Responsibilities

  • Serve as LiveRamp’s pre-sales measurement authority, guiding customers through measurement methodologies (incrementality/lift testing, multi-touch attribution, media mix modeling, causal AI, hybrid frameworks) and recommending appropriate approaches.
  • Lead technical discovery and white-boarding sessions with senior measurement stakeholders to diagnose challenges and design LiveRamp-powered solutions.
  • Translate complex measurement concepts into narratives for both technical and C-level audiences.
  • Partner with Sales as the technical and analytical authority in competitive measurement deals.
  • Design end-to-end measurement solutions leveraging LiveRamp’s Cross-Screen Measurement product, identity graph (RampID), and clean room technology.
  • Advise customers on data infrastructure and data science requirements for measurement at scale, including clean room configuration, identity resolution, first-party data onboarding, and analytical environment setup.
  • Provide technical guidance on implementation trade-offs (e.g., Python vs. SQL, in-platform computation vs. data export, deterministic vs. modeled measurement, privacy-safe data collaboration).
  • Produce detailed technical scoping documents, reference architectures, and implementation plans.
  • Build working prototypes, proof-of-concepts, and demo environments to showcase LiveRamp’s measurement capabilities.
  • Demonstrate causal inference workflows, incrementality analyses, and cross-screen attribution models within the clean room and identity infrastructure.
  • Experiment with emerging measurement techniques and translate them into repeatable solutions.
  • Help create reusable technical assets (code notebooks, solution blueprints, demo scripts, analytical templates).
  • Feed product roadmap priorities from the field, collaborating with Product and Engineering.
  • Represent LiveRamp as a measurement thought leader at industry events, conferences, and customer workshops.
  • Stay current on industry developments in cross-screen measurement, privacy-safe analytics, causal inference, identity, and the competitive landscape.
  • Build relationships across the measurement ecosystem (agencies, measurement vendors, data partners, industry bodies).

Benefits

  • Flexible paid time off
  • Paid holidays
  • Options for working from home
  • Paid parental leave
  • Medical, dental, vision, life and disability insurance
  • Employee assistance program
  • Voluntary benefits
  • Perks programs for healthy lifestyle, career growth
  • 401K matching plan—1:1 match up to 6% of salary
  • Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
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