Remote Data Scientist — ML for Growth & Revenue

RealAdvisor; La None; Remote; EUR 45,000 - 78,000; Full time

Benefits offered by this job

Fully remote

Full-time freelance role

Competitive monthly rate

Job summary

RealAdvisor is seeking a data scientist to consolidate diverse data sources from product, marketing, and transactional systems. You will build ML models for revenue optimization, churn prediction, and subscription forecasting, and run experiments to drive growth.

The role combines data engineering, analytics, and stakeholder storytelling in a fully remote, freelance, full‑time setup. You will design experiments, develop dashboards, and translate insights into concrete product and marketing

Qualifications

• 3+ years in data science, analytics.
• Python and SQL 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 (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.

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.

Skills

Data science

Python

SQL

Data pipelines

Experiment design

ML models

Product analytics

Dashboards

Business mindset

Autonomous delivery

Tools

Looker

Tableau

Power BI

Airflow

dbt

Spark

Job description

RealAdvisor is seeking a data scientist to consolidate diverse data sources from product, marketing, and transactional systems. You will build ML models for revenue optimization, churn prediction, and subscription forecasting, and run experiments to drive growth.

The role combines data engineering, analytics, and stakeholder storytelling in a fully remote, freelance, full‑time setup. You will design experiments, develop dashboards, and translate insights into concrete product and marketing