Data Scientist
Core
Develop predictive models for long-term marketing metrics, LTV, revenue, and retention using large-scale transactional and event-level data.
Role type
Data Scientist (Marketing Analytics & Predictive Modeling)
Builds
Production marketing prediction models and feature datasets
Domain
Mobile apps, subscription economics, marketing analytics
Deliverable
production ML models
Required skills
SQL, Python (pandas, NumPy, scikit-learn), statistics, predictive modeling, model validation, survival analysis, subscription economics
Preferred skills
Stripe/PayPal integration, dbt, Airflow, Tableau, Amplitude, Meta Ads, Google Ads, production ML workflows
Technologies
Google BigQuery, PostgreSQL, pandas, NumPy, SciPy, scikit-learn, statsmodels, dbt, Airflow, Tableau, Amplitude, AppsFlyer
Responsibilities
Develop and validate LTV and revenue prediction models; investigate data quality in transactional/event datasets; monitor model performance and diagnose errors; build and maintain feature datasets; support A/B test analysis; translate analytical results into business conclusions
Seniority
Mid-level, hands-on IC
