Principal Decision Scientist (Marketing)

TL;DR

Principal Decision Scientist (Marketing): Leading the development of an advanced analytics function to transform cross-channel data into strategic insights with an accent on Marketing Mix Modelling (MMM), experimentation frameworks, and predictive statistical modeling. Focus on architecting scalable data layers, influencing commercial strategy through data-driven narratives, and integrating AI tools to optimize marketing performance and unit economics.

Location: Hybrid role based in London, UK. Must already possess the legal right to work in the UK without visa sponsorship.

Company

hirify.global is a global SaaS company helping over 100,000 small and medium-sized businesses grow through customer-driven, AI-first solutions.

What you will do

• Design and execute experimentation frameworks, including geo-based and holdout incrementality testing.
• Evolve Marketing Mix Modelling (MMM) capabilities to provide actionable budget allocation recommendations.
• Develop sophisticated statistical models for LTV prediction, churn scoring, and audience segmentation.
• Architect and govern the marketing data layer using dbt and modern data stack best practices.
• Translate complex technical findings into strategic narratives for senior leadership.
• Partner with Finance to align marketing efficiency metrics and unit economics with company-wide planning.

Requirements

• 8+ years of experience in a similar role within a high-growth SaaS or digital business.
• Must already possess the legal right to work in the UK without visa sponsorship.
• Deep expertise in both acquisition and retention analytics.
• Hands-on experience with Marketing Mix Models (MMM) and causal inference techniques.
• Advanced proficiency in Python or R and SQL for production-quality statistical analysis.
• Proven ability to mentor analysts and influence organizational-level data infrastructure decisions.

Culture & Benefits

• People-first culture that values authenticity and collaboration.
• Flexible working hours and wellness perks.
• 28 days of paid leave plus additional well-being and parental leave.
• Performance-based bonuses.
• Investment in professional growth through mentorship and coaching.