Staff Data Scientist
Core
Develop and implement advanced fraud detection models to protect customers' business from fraudulent activities using machine learning and statistical techniques.
Role type
Staff Data Scientist (Fraud Detection)
Builds
AI Risk Decisioning™ Platform for banks, fintechs, and digitally native organizations
Domain
Fintech / Financial Services / Fraud Prevention
Deliverable
production ML models
Required skills
Python, machine learning algorithms, statistical techniques, distributed systems (Apache Spark, Dask), feature engineering, data cleaning, data quality management
Preferred skills
cloud development (AWS, GCP, Azure), MLOps, fintech industry experience, knowledge of fraud tactics and trends
Technologies
Python, Apache Spark, Dask, AWS, GCP, Azure
Responsibilities
Develop and implement advanced fraud detection models; Analyze large volumes of data to identify patterns and anomalies indicative of fraudulent behavior; Evaluate and optimize existing fraud detection models; Collaborate with cross-functional teams to design fraud detection systems; Ensure data privacy and security compliance
Seniority
Staff, hands-on IC with strategic impact
