Sr. Measurement Scientist, Solution Engineering

LiveRamp is hiring a Sr. Solution Engineer, Measurement to join our pre‑sales team and serve as the measurement subject‑matter expert for customers. Responsibilities Measurement Advisory & Consultative Sales: Serve as LiveRamp’s pre‑sales measurement authority, guiding customers through measurement methodologies—incrementality / lift testing, multi‑touch attribution, media mix modeling, causal AI, and hybrid frameworks—and recommending the right approach for 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 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 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. Thought Leadership & Ecosystem Engagement: Represent LiveRamp as a measurement thought leader at industry events, conferences, and customer workshops, articulating our measurement philosophy and technical differentiation. Stay current on industry developments in cross‑screen measurement, privacy‑safe analytics, causal inference, identity, and the evolving competitive landscape, and bring those insights back to the team. Build relationships across the measurement ecosystem—agencies, measurement vendors, data partners, industry bodies—to strengthen LiveRamp’s positioning as a measurement infrastructure leader. 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 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. 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. Preferred: Direct experience with cross‑screen or multi‑touch TV measurement—including linear, CTV/OTT, and digital video measurement methodologies and data sources (ACR data, set‑top box, smart TV, server‑side ad insertion). Preferred: 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). Preferred: Familiarity with LiveRamp’s identity infrastructure, RampID, and data collaboration platform. Preferred: Experience in a pre‑sales, solutions engineering, or technical consulting role within AdTech or MarTech. Preferred: Knowledge of data privacy regulations (GDPR, CCPA/CPRA) and their implications for measurement, identity, and data collaboration. Preferred: Familiarity with major cloud data platforms (Snowflake, Databricks, BigQuery, AWS, Azure) and their role in measurement data infrastructure. Preferred: Track record of measurement‑related thought leadership: white papers, conference talks, blog posts, or published research. Benefits Approximate annual base compensation range: $171,500 to $201,500. Variable incentive compensation targeting 33% of base salary. OTE range: $228,095 to $267,995. Comprehensive benefits package designed to help you be your best self in personal and professional lives: medical, dental, vision, life and disability, employee assistance program, voluntary benefits, and perks programs for healthy lifestyle, career growth, and more. 401(k) matching plan—1:1 match up to 6% of salary to help plan ahead. Employee Stock Purchase Plan—15% discount off purchase price of LiveRamp stock (U.S. LiveRampers). Work life harmony: flexible paid time off, paid holidays, options for working from home, and paid parental leave. People: Work with talented, collaborative, and friendly people who love what they do. EEO & Equal Opportunity LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance. #J-18808-Ljbffr