Data Scientist - RealAdvisor

RealAdvisor S.A.; Schweiz; Remote; CHF 100,000 - 167,000; Full time

Benefits offered by this job

Fully remote

Full‑time freelance role

Competitive monthly rate

Job summary

RealAdvisor S.A. is seeking a business‑oriented Data Scientist to consolidate data sources, build ML models, and run experiments to drive subscription growth. This fully remote, full‑time freelance role involves end‑to‑end delivery, cross‑functional collaboration, and presenting insights to stakeholders.

You will query databases, run experiments, develop predictive models, and translate results into concrete product and marketing actions across Europe. Strong analytics mindset required.

Qualifications

• 3+ years in data science or analytics.
• Strong Python and SQL for data manipulation and modeling.
• Experience consolidating diverse data sources into reliable datasets.
• Design of experiments and causal inference methods.
• Practical ML experience (classification, regression, segmentation) and model evaluation.
• Experience with product analytics tools and dashboarding.
• Ability to translate results into measurable business outcomes.
• Proactive, autonomous end-to-end delivery.

Responsibilities

• Consolidate data from product, marketing, CRM, and transactional systems into reliable datasets.
• Analyze product analytics to measure feature usage, journeys, and retention.
• Design and run experiments to validate hypotheses and measure impact.
• Build ML models for revenue optimization, churn prediction, segmentation, and forecasting.
• Analyze marketing performance for acquisition, LTV, and ROI.
• Translate analysis into actionable product changes and experiments.
• Report results with dashboards and concise data storytelling for stakeholders.
• Work cross-functionally to standardize metrics and KPIs.
• Maintain data quality with ETL checks and remediation.

Skills

Data science experience

Python

SQL

Data pipelines

Experiment design

ML modeling

Product analytics

Dashboard storytelling

Business impact mindset

Proactive delivery

Tools

Looker

Tableau

Power BI

Airflow

dbt

Spark

Job description

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.

Why Join Us

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