About Pipedrive
At Pipedrive, we believe great products are built by great people. Since 2010, we’ve been helping sales and marketing teams work smarter with intuitive, powerful CRM software. Today, more than 100,000 companies across 179 countries rely on Pipedrive to grow their businesses.
What started as a team of five has grown into a global company of 850+ employees representing over 50 nationalities, with offices across Europe and the United States. Backed by Vista Equity Partners, Pipedrive continues to innovate and empower businesses worldwide.
About the Role
As a Principal Decision Scientist – Marketing, you will lead the evolution of our marketing analytics function, transforming complex, cross-channel data into strategic insights that drive measurable business impact.
Working at the intersection of data science, marketing, and business strategy, you’ll shape advanced analytics capabilities, including experimentation frameworks, statistical modelling, and marketing measurement. You’ll partner closely with Marketing, Product, Finance, Data Engineering, and Analytics teams to enable smarter decision-making, optimize marketing investments, and accelerate commercial growth.
If you’re passionate about solving complex analytical challenges, influencing strategic decisions, and building scalable data solutions, we’d love to hear from you.
Your New Adventure
- Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to validate marketing investments at scale.
- Develop and evolve Marketing Mix Modelling (MMM) capabilities, including model development, calibration, and budget allocation recommendations.
- Build advanced statistical models such as customer lifetime value (LTV) prediction, churn scoring, and audience segmentation.
- Architect and govern the marketing data layer, ensuring best practices for dbt modelling, data quality, and documentation.
- Lead cross-functional analytics initiatives addressing complex commercial and strategic challenges.
- Translate complex analytical findings into clear, executive-level recommendations that influence business strategy.
- Partner with Finance (FP&A) to align marketing efficiency metrics, budgeting frameworks, and unit economics such as CAC, LTV, and Payback Period.
- Collaborate with Data Engineering and Marketing Technology teams to define the long-term marketing data platform, ensuring high-quality tracking, instrumentation, and tooling.
- Champion the practical use of AI across analytics workflows, helping marketing teams leverage AI to improve efficiency and decision-making.
What You’ll Bring
- Experience: 8+ years in marketing analytics, decision science, or a similar advanced analytical role.
- Marketing Expertise: Deep knowledge of acquisition channels (Paid Search, Paid Social, SEO) and retention strategies (CRM, Lifecycle Marketing, Churn).
- Marketing Measurement: Proven experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks, including geo-based, holdout, and synthetic control methodologies.
- Statistical Modelling: Strong expertise in predictive modelling, LTV analysis, causal inference, and predictive scoring techniques.
- Programming: Advanced proficiency in Python or R for statistical analysis, modelling, automation, and production-quality code development.
- Artificial Intelligence: Practical experience using AI tools to improve analytical workflows and business decision-making.
- Data Engineering: Strong SQL skills and hands-on experience designing scalable data models using dbt within modern data platforms.
- Communication: Exceptional ability to communicate complex technical concepts to senior leadership and non-technical stakeholders.
- Business Acumen: Experience within high-growth SaaS or digital businesses with strong knowledge of CAC, LTV, Payback Period, and other commercial metrics.
- Leadership: Experience mentoring analysts, developing technical capabilities, and influencing stakeholder engagement.
- Additional Experience: Exposure to product analytics, growth functions, and organization-wide tooling or data infrastructure decisions is highly valued.
Why Join Pipedrive?
- People-first culture built on collaboration, authenticity, inclusivity, and mutual respect.
- Innovative environment where you’ll work with cutting-edge technologies and contribute to our AI First vision.
- Comprehensive wellbeing support including flexible working hours, wellness initiatives, performance bonuses, 28 days of paid leave, wellbeing days, compassionate leave, and parental benefits.
- Continuous growth opportunities through mentorship, coaching, internal mobility, and ongoing learning.
- Purpose-driven work helping more than 100,000 businesses succeed through better technology.
Diversity & Inclusion
Pipedrive is proud to be an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace where everyone feels welcome and valued, regardless of race, colour, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other protected characteristic.
Eligibility
Please note that this position is open only to candidates who already have the legal right to work in Germany without requiring visa sponsorship or relocation assistance.
Background Checks
Where permitted by local law and appropriate for the responsibilities of the role, Pipedrive may conduct a pre-employment background check. Any such process will be carried out in accordance with our Candidate Privacy Notice and applicable data protection regulations.
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