Marketing Science Director - Growth Analytics, Hybrid

Future Publishing Limited; New York (NY); Hybrid; USD 162,000 - 180,000; Full time

Benefits offered by this job

Uncapped leave

Profit sharing

Share incentive plan

Well-being programs

Refer a friend bonus

Job summary

Future Publishing Limited in New York seeks a seasoned Measurement Scientist to build a proprietary measurement ecosystem beyond basic metrics. You’ll translate complex data into clear business narratives, align with sales and agency partners, and help brands define success metrics with market-ready solutions.

You’ll own vendor governance, design MMM and Geo‑testing workflows, manage identity/privacy pipelines, and guide Product teams on multi‑product measurement strategies for social, audio,

Qualifications

• 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.

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.
• Go-To-Market & Vendor Governance: 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.
• Go-To-Market & Vendor Governance: 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.
• Go-To-Market & Vendor Governance: 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.
• Technical Methodologies & Data Science: MMM Data Architecture: Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models.
• Technical Methodologies & Data Science: 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).
• Product Innovation & 3-Year Vision: 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.
• Product Innovation & 3-Year Vision: 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.

Skills

Marketing science

Ad analytics

Attribution

Client-facing storytelling

SQL

Python or R

Education

Bachelor’s degree in Economics, Statistics, Data Science, etc.

Master’s or PhD in Econometrics or Applied Statistics (strong plus)

Tools

Python

R

SQL

Data visualization tools

Job description

Future Publishing Limited in New York seeks a seasoned Measurement Scientist to build a proprietary measurement ecosystem beyond basic metrics. You’ll translate complex data into clear business narratives, align with sales and agency partners, and help brands define success metrics with market-ready solutions.

You’ll own vendor governance, design MMM and Geo‑testing workflows, manage identity/privacy pipelines, and guide Product teams on multi‑product measurement strategies for social, audio,