Data Scientist
Core
Develop algorithms and analytical production-grade solutions to analyze individual interactions, provide real-time decisions, and fight fraud and policy abuse at scale.
Role type
Senior IC data scientist (fraud/risk)
Builds
AI-powered fraud and risk intelligence platform
Domain
Ecommerce, fraud detection, risk management
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning, feature engineering, data visualization
Preferred skills
Airflow, PySpark, Docker, K8S, fraud domain experience
Technologies
Python, SQL, Pandas, NumPy, Airflow, CircleCI, PySpark, Docker, K8S
Responsibilities
Collect, clean, and transform large, complex data sets; Apply statistical methods to identify patterns and develop predictive models; Develop and implement machine learning algorithms; Extract relevant features from structured and unstructured data; Build, train, and optimize machine learning models; Present complex analysis results using data visualization techniques
Seniority
Mid-level, hands-on IC
