Principal Decision Scientist - Marketing

How they work

• - 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
• We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US.
• #LI-Hybrid #LI-VMUC We’re on the lookout for a strategic, hands-on Principal Decision Scientist - Marketing with deep expertise in marketing analytics, experimentation, and statistical modelling, and a strong ability to turn complex data into clear business recommendations that drive measurable commercial impact.

Eligibility

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

How to apply

• 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?
• If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.