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Data Scientist

Pubblicato il 16-10-2026 - RealAdvisor in Bologna

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 met

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