Principal Decision Scientist - Marketing

Your new adventure:

Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale

Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership

Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product

Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation

Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems

Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level

Partner with Finance (FP&A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company-wide financial reporting and planning

Collaborate with Data Engineering and Marketing Technology to define and shape the long-term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice

Lead the team’s thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working

Does this sound like you?

8+ years of experience in a similar role

Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel-level performance to business-wide outcomes

Proven, hands-on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo-based, holdout, synthetic control) in a real business context

Proficiency in applied statistical modelling, such as LTV modeling, predictive scoring and causal inference techniques

Advanced Python or R for statistical analysis, modelling, and automation, with production-quality code standards

Practical experience applying AI tools to accelerate, enhance and automate analytical workflows

Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work

Exceptional ability to distil complex technical findings into clear strategic narratives for non-technical stakeholders and senior leadership

Experience working within a high-growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback)

Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement

Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel

Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level

Why Pipedrive?

People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome

Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change

We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people

Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability

Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work

Diversity & Inclusion: Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.

Eligibility: Please note that for this position, we are only able to consider candidates who already possess the legal right to work in UK without the need for visa sponsorship or relocation assistance.

Background Checks: Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.

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