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.Key responsibilities Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasetsPerform product analytics to measure feature usage, user journeys, and retention driversDesign and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impactBuild ML models for revenue optimization, churn prediction, segmentation, and subscription forecastingAnalyze marketing performance to measure acquisition efficiency, LTV, and campaign ROITranslate analysis into action: propose product changes, growth experiments,



and operational KPIsReport results using concise dashboards, reports, and data storytelling for non‑technical stakeholdersWork cross‑functionally with product, marketing, engineering, and country managers to standardize metrics and trainingMaintain data quality: identify polluted data, propose remediation, and implement robust ETL checksRequired Skills And Experience 3+ years in data science, analyticsPython and SQL skills for data manipulation, modeling, and production prototypingExperience consolidating diverse data sources and building reliable analytical pipelinesExperiment design and causal inference methodsPractical ML experience (classification, regression, segmentation) and model evaluationProduct analytics tools experienceAbility to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar)Business mindset: translates technical results into measurable business outcomesProactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervisionNice to have Experience with subscription businesses and monetization modelsFamiliarity with marketing attribution and LTV modelingFrontend or backend dev experience to implement tracking or small UI changesKnowledge of data engineering tools (Airflow, dbt, Spark)Experience working across international markets and multilingual datasetsBenefits Fully remoteFull‑time freelance roleCompetitive monthly rate#J-18808-Ljbffr

📌 Data Scientist - Realadvisor (Zaragoza)
🏢 RealAdvisor
📍 Zaragoza