Data Scientist - RealAdvisor

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8g7i8r

h3About RealAdvisor /h3 pRealAdvisor 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. /p h3About RealAdvisor /h3 pRealAdvisor 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. /p pWe 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. /p h3Role Overview /h3 pWe 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. /p h3Requirements /h3 h3Key responsibilities /h3 ul liConsolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets /li liPerform product analytics to measure feature usage, user journeys, and retention drivers /li liDesign and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact /li liBuild ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting /li liAnalyze marketing performance to measure acquisition efficiency, LTV,



and campaign ROI /li liTranslate analysis into action: propose product changes, growth experiments, and operational KPIs /li liReport results using concise dashboards, reports, and data storytelling for non‑technical stakeholders /li liWork cross‑functionally with product, marketing, engineering, and country managers to standardize metrics and training /li liMaintain data quality: identify polluted data, propose remediation, and implement robust ETL checks /li /ul h3Required Skills And Experience /h3 ul li3+ years in data science, analytics /li liPython and SQL skills for data manipulation, modeling, and production prototyping /li liExperience consolidating diverse data sources and building reliable analytical pipelines /li liExperiment design and causal inference methods /li liPractical ML experience (classification, regression, segmentation) and model evaluation /li liProduct analytics tools experience /li liAbility to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar) /li liBusiness mindset: translates technical results into measurable business outcomes /li liProactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervision /li /ul h3Nice to have /h3 ul liExperience with subscription businesses and monetization models /li liFamiliarity with marketing attribution and LTV modeling /li liFrontend or backend dev experience to implement tracking or small UI changes /li liKnowledge of data engineering tools (Airflow, dbt, Spark) /li liExperience working across international markets and multilingual datasets /li /ul h3Benefits /h3 h3Why Join Us /h3 ul liFully remote /li liFull-time freelance role /li liCompetitive monthly rate /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8g7i8r