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
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 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.
... 3 years of professional experience as a Data Scientist or in an applied Analytics/Machine Learning role (ideally including HR, People Analytics, or workforce Data); - Proven experience with Python and SQL for Data analysis and modeling (including pandas, scikit-learn, related statistical, and Machine Learning libraries); ...
... Description Job description: Develop End to End Product Lifecycle: - Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results - Develop, modify, and support in-house applications, working hand-in-hand with the data scientists and developers ...
... em Portugal. O que procuramos: - Licenciatura em Engenharia Informática, Tecnologias de Informação ou área similar; - Experiência mínima de 5 anos em funções Machine Learning Engineer; - Experiência comprovada em liderança de equipas de Machine Learning / AI; - Forte capacidade para desenvolver código robusto e pronto para ...
Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike. Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it ) The Role - Understanding of statistical, ML and deep learning algorithms ...
... shipping GenAI into production across life sciences, from cutting-edge BioLM models to agentic applications for genetic research companies. Loka is seeking a Machine Learning Engineer to join our growing team. In this position you'll build and improve machine learning solutions across multiple projects, applying your knowledge ...
... projects waiting for you all over Portugal - both hybrid and full remote - where you can grow professionally and take your career to the next level. Are you a savvy Data Scientist seeking a new challenge in a dynamic team of data experts ? We want to know more about you! Tell us about your: - experience with automate data collection ...
Job Description: Responsibilities - your mission Join the Airbus Human Resources (HR) community as a Junior Data Scientist and contribute to our digital transformation! Do you want to play a proactive role within the People Analytics team to strengthen our data science capabilities? Do you have a strong background in applied ...
... (primarily Python or R) for data manipulation, analysis, and model development. - Continuously research and apply new methodologies and technologies in statistics, machine learning, and advanced analytics. Qualifications - 3+ years of professional experience as a Data Scientist, Applied Scientist, or Advanced Data Analyst. - Mandatory ...
... threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. We’re looking for a Full Stack Data Scientist / Machine Learning Engineer to join our Knowledge Layer team, a group focused on extracting, structuring, and analyzing knowledge from large-scale, unstructured data. ...
... technical field, or equivalent practical experience. - At least 6 years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or a closely related technical discipline. - Experience designing and implementing production-quality machine learning systems, tooling, ...