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Data Scientist

Pubblicato il 17-10-2026 - RealAdvisor in Lazio

About RealAdvisor
RealAdvisor is one of the leading digital platforms in the European real estate ecosystem.
Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe.
About RealAdvisor
RealAdvisor is one of the leading digital platforms in the European real estate ecosystem.
Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe.
We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology.
At RealAdvisor, we value ownership, autonomy and impact.
Role Overview
We are looking for a business?oriented Data Scientist to join RealAdvisor.
You will consolidate and analyze diverse data sources (product, marketing, transactional), build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions.
This is a hands?on, full?stack role: you will query databases, run experiments, build models,



and present clear data stories to stakeholders.
Requirements
Key responsibilities
Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets
Perform product analytics to measure feature usage, user journeys, and retention drivers
Design and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact
Build ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting
Analyze marketing performance to measure acquisition efficiency, LTV, and campaign ROI
Translate analysis into action: propose product changes, growth experiments, and operational KPIs
Report results using concise dashboards, reports, and data storytelling for non?technical stakeholders
Work cross?functionally with product, marketing, engineering, and country managers to standardize metrics and trainin

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