- Location
- Lisbon, Lisbon, Portugal · published
- Type
- Full-time
- Department
- Operations
- Seniority
- Senior
- Source
- Workable
Description
SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS
1-year fixed term contract
Usercentrics is a global leader in the field of consent management platforms (CMP). We follow our company vision to build a world where user privacy enables a thriving digital ecosystem. Our mission is to provide privacy solutions that empower organizations to embrace data privacy while building trust with their users through freedom of choice. With our product, businesses can collect, manage and document user consents on websites and apps, and achieve full compliance in accordance with global privacy regulations while facilitating high consent rates and building trust with their customers.
We are looking for a self driven, curious, and analytical individual to join as a Senior Data Scientist. You will operate across Marketing, Revenue Operations, Finance, and Product, partnering with senior stakeholders to define and solve complex, ambiguous business problems using advanced data science methodologies. You will solve ambiguous, cross-team problems at a multifunctional scale, backed by rigorous modeling, sound statistical judgment, and compelling, executive-ready storytelling.
YOUR TASKS
- Partner with senior stakeholders across Marketing, Revenue Operations, Finance, and Product to define ambiguous, high-impact problems and solve them with advanced data science methodologies (e.g. predictive modeling, causal inference, marketing attribution model, value-biden models, customer segmentation)
- Establish technical and analytical standards and patterns, through reviews, documentation, enablement, and tooling
- Lead multi-team initiatives, defining strategy, architecture/approach, and success metrics for cross-functional analytics programs
- Mentor and coach other analysts, building analytical capability
- Own large, mission-critical workstreams end-to-end, from framing ambiguous business questions to shipping models, forecasts, and recommendations that measurably move company-level KPIs (e.g. CAC, LTV, churn, pipeline conversion, revenue forecast accuracy)
- Anticipate risks and unblock other teams, ensuring high-impact analytics projects ship reliably and on time
- Act as a trusted advisor to senior leaders, translating complex analyses into clear, actionable recommendations that shape strategy