Measurement Partner II (tvScientific)

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About the role

As a Measurement Partner II (Experimentation & Brand) at tvScientific by Pinterest, you’ll be the go-to expert for all things experimentation and brand impact measurement. You’ll guide both internal teams and external partners through rigorous test design, brand lift studies, and incrementality measurement—helping advertisers understand and grow the value of their investment through clear, decision-ready insights. From translating advertiser objectives into robust experiments to turning complex results into compelling stories, you’ll play a critical role in shaping how we prove and communicate the value of tvScientific + Pinterest campaigns. This is a role for someone who loves rigorous analysis, thrives in a collaborative environment, and knows how to turn complex measurement into simple, actionable narratives that drive real business outcomes.

Responsibilities

• Own and evolve our experimentation and brand measurement strategies and playbooks across key advertisers and verticals.
• Serve as a strategic measurement partner for internal teams and external clients, helping define learning agendas and recommending the right approaches (e.g., A/B tests, geo tests, brand lift).
• Translate advertiser objectives into robust test designs with clear hypotheses, KPIs, timelines, and guardrails.
• Lead the end-to-end execution of controlled experiments, incrementality tests, and brand lift studies—from scoping and setup through QA, analysis, and readout.
• Analyze large, complex datasets using appropriate statistical methods to estimate lift and brand impact, and sanity-check results for real-world plausibility.
• Turn complex analytical outputs into clear, concise insights and recommendations tailored to different audiences (executives, marketers, and technical partners).
• Synthesize learnings across campaigns and studies to identify patterns, codify best practices, and build reusable frameworks and case studies.
• Collaborate closely with Product, Data Science, and external measurement partners to evolve our experimentation and brand measurement capabilities.
• Support sales and customer-facing teams by equipping them with measurement narratives, proof points, and guidance for client conversations.
• Manage a portfolio of concurrent studies, keeping stakeholders updated on timelines, risks, and outcomes.

Requirements

• 3+ years of experience in marketing science, media analytics, experimentation, or a related quantitative role; experience in ad tech, digital media, or brand measurement is a major plus.
• A strong track record of designing and interpreting experiments or causal analyses (e.g., A/B tests, geo-experiments, matched-market tests, brand lift studies).
• Deep understanding of brand and upper-funnel metrics (e.g., awareness, consideration, favorability) and how they connect to business outcomes.
• Skilled in working with large datasets (SQL, Python/R, or similar) and applying appropriate statistical techniques to estimate lift and validate results.
• Clear communicator who can make technical and statistical concepts easy to understand and relevant to business and creative decisions.
• Experience partnering cross-functionally with Sales, Customer Success, Product, and Data Science, and collaborating with third-party measurement vendors.
• Proven ability to manage multiple concurrent projects, prioritize effectively, and keep stakeholders aligned in a fast-moving environment.
• Proactive, detail-oriented, and excited to build measurement frameworks and playbooks, not just run one-off analyses.
• Comfortable leveraging AI tools to accelerate analysis, streamline reporting, and enhance the development of measurement frameworks and playbooks.
• Bachelor’s degree in a relevant field such as Business or Marketing, or equivalent experience.

Schedule

This role will need to be in the office for in-person collaboration 1–2 times a year and can be situated anywhere in the country.

Pay

US based applicants only. The base salary range for this position is $103,965—$214,044 USD. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.