Senior Data Scientist

Usercentrics

. Partner with senior stakeholders across Marketing, Revenue Operations, Finance, and Product to define and solve ambiguous, high-impact problems using advanced data science methodologies .

Posted 9/25/2026contractLisbon • PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced data science methodologies, including predictive modeling and statistical analysis, while effectively communicating insights to senior stakeholders. Proven ability to lead cross-functional initiatives and mentor teams to enhance analytical capabilities and drive business outcomes.

Highest-signal resume keywords

SQL ExpertisePython or R ProficiencyStatistical ModelingMachine Learning TechniquesCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingCausal InferenceMarketing Attribution ModelsCustomer SegmentationRegression TechniquesClassification TechniquesA-B TestingAnalytical System DesignBI Dashboard DevelopmentTechnical Standards Setting

Soft Skills

Communication SkillsMentoringProblem SolvingAutonomous OperationStakeholder Management

Tools & Technologies

LookerOmni Analytics

Industry Keywords

Data ScienceAdvanced AnalyticsSaaSStrategy ConsultingRevenue OperationsMarketing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with senior stakeholders across Marketing, Revenue Operations, Finance, and Product to define and solve ambiguous, high-impact problems using advanced data science methodologies
Apply predictive modeling, causal inference, marketing attribution models, value-based models, and customer segmentation
Establish technical and analytical standards through reviews, documentation, enablement, and tooling
Lead multi-team initiatives by defining strategy, architecture or approach, and success metrics
Mentor and coach analysts and build analytical capability
Own mission-critical workstreams end-to-end, from framing business questions to shipping models, forecasts, and recommendations
Deliver measurable improvements to company-level KPIs such as CAC, LTV, churn, pipeline conversion, and revenue forecast accuracy
Anticipate risks and unblock teams to ensure analytics projects ship reliably and on time
Advise senior leaders by translating complex analyses into clear, actionable recommendations that shape strategy

Requirements

What you’ll need

Bachelor's or Master's degree in a quantitative field such as Mathematics, Economics, Statistics, Computer Science, or Engineering
6–10+ years of experience in data science or advanced analytics
Preferably a track record of cross-functional impact across marketing, revenue operations, finance, and product
Background in strategy consulting and/or tech scale-ups or SaaS
Strong hands-on expertise in SQL and Python or R
Expertise in statistical modeling and machine learning techniques, including regression, classification, causal inference, and experimentation/A-B testing
Experience designing durable analytical systems, tooling, and BI dashboards, ideally Looker or Omni Analytics
Experience communicating insights to non-technical stakeholders
Track record of setting technical standards, reviewing others' work, and mentoring junior and mid-level team members
Experience partnering with senior stakeholders and executives
Experience shaping a cross-functional analytics roadmap and driving decisions affecting business outcomes across multiple domains
Ability to operate autonomously in ambiguous, cross-functional environments
Fluency in English with strong verbal and written communication skills

Benefits

Comp & perks

Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-minded who build our success story together
Positive, vibrant and inspiring company culture
Flexible working hours
Hybrid working
Possibility of workcations in accordance with company policy
Regular team events at company offices
Personal development budget
Job-related language courses
Well-being benefits depending on location
Diverse, equitable, and inclusive workplace