Marketing Science Director

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

Who We Are

We create trusted, expert content that helps millions of people discover more about the things they love, need and care about. From technology, gaming and entertainment to fashion, lifestyle, sport, finance and beyond, our specialist brands connect people with their passions every day.

Across websites, magazines, newsletters, social channels and events, we bring expert content to audiences around the world. We combine our deep specialist knowledge with innovative technology and data to create engaging experiences, build valuable communities and help people make better-informed decisions.

Description

You will develop advanced measurement frameworks beyond basic click-and-impression metrics. Your daily work involves building a proprietary measurement ecosystem tailored to modern data infrastructures. You will work closely with our sales teams and external agency partners. You will consult directly with brands to clearly define their success metrics. By translating complex data into accessible narratives, you will showcase true business growth. You will empower our internal teams to bring sophisticated, market-ready solutions to clients.

What You'll Do

You will report into the VP, Commercial Product and Go To Market

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.

Experience That Will Put You Ahead Of The Curve

• 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.

Compensation and Benefits

The expected range for this role is $162,000 - $180,000

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Well‑being support with access to our Colleague Assistant Programs
• Opportunity to purchase shares in Future with our Share Incentive Plan

Internal job family level Commercial 3

This is a hybrid role from our New York office, working three days from the office and two from home.

Diversity and Inclusion

Diversity is central to who we are. We believe different perspectives spark new ideas, fuel creativity, and drive innovation. That's why we're committed to building an inclusive workplace where everyone feels valued, respected, and empowered to succeed.

We're dedicated to fair and inclusive hiring practices and welcome talent from all backgrounds, because diverse teams build stronger futures.

Please let us know if you need any reasonable adjustments.

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