Data Scientist - Machine Learning - RealAdvisor

RealAdvisor; France; Remoto; EUR 56.000 - 78.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote

Freelance engagement

Competitive monthly rate

Descrizione del lavoro

RealAdvisor is seeking a business-oriented Data Scientist to consolidate and analyze diverse data sources, build ML models and run experiments to drive subscription growth. This hands-on role spans querying databases, running experiments, modeling, and presenting clear data stories to stakeholders.

You'll work cross-functionally with product, marketing, engineering and country managers to standardize metrics, ensure data quality, and translate insights into actionable product changes and growth

Competenze

• 3+ years in data science or analytics.
• Strong Python and SQL for data manipulation and modeling.
• Experience consolidating diverse data sources and building analytical pipelines.
• Experiment design and causal inference methods.
• Hands-on ML experience (classification, regression, segmentation) and model evaluation.
• Proficient with product analytics tools.
• Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI).
• Business-minded with proactive delivery and autonomy.

Mansioni

• Consolidate data from product, marketing, CRM and transactional systems into datasets.
• Analyze feature usage, user journeys and retention drivers.
• Design and run experiments (A/B tests, cohorts) to measure impact.
• Build ML models for revenue optimization, churn prediction, segmentation, forecasting.
• Analyze marketing performance: acquisition efficiency, LTV, campaign ROI.
• Translate analysis into product changes and growth experiments.
• Create dashboards and data stories for stakeholders.
• Collaborate with product, marketing, engineering and country managers to standardize metrics.
• Maintain data quality and ETL checks.

Conoscenze

Python

SQL

Data pipelines

Experiment design

Causal inference

ML models

Looker/Tableau/BI

Business mindset

Strumenti

Airflow

dbt

Spark

Descrizione del lavoro

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.

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 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

Why Join Us

• Fully remote
• Full-time freelance role
• Competitive monthly rate