Marketing Science Director at Future Publishing | New York City, NY | $162K/yr – $180K/yr

Marketing Science Director

New York City, NY (Hybrid)

$162K/yr – $180K/yrSenior Level4+ years expFull time

Posted 3 weeks ago

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Job Summary

Own the measurement governance and productized analytics that turn attribution into revenue signals for multiple platforms and clients.

Measurement Governance: define and standardize attribution, MMM, and Geo-testing to drive consultative recommendations.
Measurement as a Product: packaging insights for sales and media, turning data into billable solutions.
Product Loop & Scaled Frameworks: feed insights to product and scale multi-product measurement across social, audio, and lower-funnel tactics.

Job Description

Responsibilities

Go-To-Market & Vendor Governance
Own the Measurement Narrative: Serve as the definitive technical voice for client and agency management, translating complex attribution frameworks into clear, high-impact business value.
Measurement as a Product: Treat measurement capabilities as a core commercial asset; partner with Sales to transform data insights into packaged media solutions that scale.
Sales Enablement & Decision Tree Design: Co-develop structured decision trees, FAQs, and frameworks to guide Sales and Sales Enablement teams on mapping the right measurement solutions to specific client goals.
Vendor & Commercial Governance: Manage the technical onboarding, benchmarking and financial efficiency of third-party measurement vendors to ensure contract costs directly fuel revenue growth.
Technical Methodologies & Data Science:
Causal Experimentation: Guide the data science design, execution, and evaluation of advanced incrementality testing, establishing scientific rigor via Geo-lifts, split-market holdouts, and randomized controlled trials.
MMM Data Architecture: Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models.
Identity & Privacy Engineering: Own the technical identity roadmap—navigating MAIDs, clean rooms, cookieless identifiers, and privacy compliance (CCPA/GDPR)—to ensure high-fidelity signal capture across the ad stack.
Product Innovation & 3-Year Vision:
Close the Product Loop: Funnel behavioral, network, and creative insights directly back to Product Management to inform future core builds (acting as a key stakeholder for initiatives like the Product Manager Atelier).
Scale Multi-Product Frameworks: Design and execute sophisticated measurement for performance tools (e.g., Future Optic, Helix) while expanding capabilities across social, audio/podcasts, and lower-funnel iterations.
Architect the Proprietary Ecosystem: Oversee the 3-year migration from third-party dependencies to an in-house, full-stack ecosystem powered by first-party pixels, predictive models, and custom testing frameworks.

Measurement & Data Science Requirements

Experience: 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency
Agency Ecosystem Fluency: Deep understanding of major agency holding companies, their workflows, operational RACI matrix configurations, and media-planning vocabulary
Measurement Mastery: Strong practical knowledge of MTA, Geo-testing, and MMM, alongside platform attribution algorithms (Meta, Google, DV360) and modern Data Clean Rooms
Client-Facing Impact: 2+ years presenting complex data methodologies directly to brands and agencies, with a proven ability to turn technical frameworks into clear, commercial stories
Technical Stack: Proficiency in SQL and data visualization tools. Hands-on experience with Python or R for custom statistical analysis is highly preferred
Education: Bachelor’s degree in a quantitative field (Economics, Statistics, Data Science, etc.). A Master’s or PhD in Econometrics or Applied Statistics is a strong plus.

Nice to Have

Hands-on experience with Python or R for custom statistical analysis is highly preferred
Master’s or PhD in Econometrics or Applied Statistics is a strong plus

Benefits