Data Scientist
Core
Develop LTV, churn, and fraud detection models to drive business decisions and ROAS optimization.
Role type
Senior IC machine-learning engineer (predictive analytics)
Builds
Production ML models for LTV, churn, and fraud detection
Domain
E-commerce / Subscription / Mobile Apps
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, statsmodels), SQL, BigQuery, A/B testing, statistical analysis, Git, MLOps
Preferred skills
Subscription/mobile app business experience, fitness products, payment fraud detection (Stripe, Adyen), Tableau, DBT
Technologies
Python, pandas, scikit-learn, statsmodels, BigQuery, Amplitude, Git, Tableau, DBT
Responsibilities
Build and maintain ML models from methodology design to production; Drive feature engineering using GBQ, Amplitude, payment, and marketing data; Develop fraud/anomaly detection models for payment flows; Design and run statistical analysis of A/B tests; Build and monitor ML pipelines in production; Document methodology for non-technical stakeholders.
Seniority
Senior, hands-on IC
