Remote Data Scientist - Growth & Revenue Analytics

RealAdvisor; Italia; Remote; EUR 56,000 - 89,000; Full time

Benefits offered by this job

Fully remote

Freelance role

Competitive monthly rate

Job summary

RealAdvisor seeks a data‑driven Data Scientist to consolidate diverse data sources, build ML models for revenue and churn forecasting, and translate insights into product and growth actions. You’ll own experimentation, analytics, and data storytelling across teams in a fully remote role.

This hands‑on, full‑stack position requires Python/SQL expertise, a track record in product analytics, and the ability to present findings to non‑technical stakeholders.

Qualifications

• 3+ years in data science or analytics.
• Python and SQL for manipulation, modeling, prototyping.
• Experience consolidating diverse data sources and building pipelines.
• Experiment design and causal inference methods.
• Practical ML experience and model evaluation.
• Experience with product analytics tools.
• Ability to build dashboards and present insights.
• Business mindset: translate results into outcomes.
• Proactive, end-to-end delivery with limited supervision.

Responsibilities

• Consolidate data from product, marketing, CRM, and transactional systems.
• Measure feature usage, user journeys, and retention drivers.
• Design and run experiments (A/B tests, cohort analysis).
• Build ML models for revenue optimization, churn, segmentation, forecasting.
• Analyze marketing performance: acquisition, LTV, ROI.
• Translate analysis into product changes and growth experiments.
• Create dashboards and data stories for stakeholders.
• Work cross‑functionally with product, marketing, engineering, country managers.
• Maintain data quality with ETL checks and remediation.

Skills

Python

SQL

Data pipelines

Experiment design

ML models

Data storytelling

Dashboards

Cross-functional

Tools

Airflow

dbt

Spark

Job description

RealAdvisor seeks a data‑driven Data Scientist to consolidate diverse data sources, build ML models for revenue and churn forecasting, and translate insights into product and growth actions. You’ll own experimentation, analytics, and data storytelling across teams in a fully remote role.

This hands‑on, full‑stack position requires Python/SQL expertise, a track record in product analytics, and the ability to present findings to non‑technical stakeholders.