Data Scientist
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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
Benefits Fully remote
Full‑time freelance role
Competitive monthly rate
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