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 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 training

Maintain data quality: identify polluted data, propose remediation, and implement robust ETL checks

Required Skills And Experience

3+ years in data science, analytics

Python and SQL skills for data manipulation, modeling, and production prototyping

Experience consolidating diverse data sources and building reliable analytical pipelines

Experiment design and causal inference methods

Practical ML experience (classification, regression, segmentation) and model evaluation

Product analytics tools experience

Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar)

Business mindset: translates technical results into measurable business outcomes

Proactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervision

Nice to have

Experience with subscription businesses and monetization models

Familiarity with marketing attribution and LTV modeling

Frontend or backend dev experience to implement tracking or small UI changes

Knowledge of data engineering tools (Airflow, dbt, Spark)

Experience working across international markets and multilingual datasets

Benefits

Fully remote

Full‑time freelance role

Competitive monthly rate

📌 Data Scientist - RealAdvisor (Madrid)
🏢 RealAdvisor
📍 Madrid