A company is looking for a Data Scientist - Identity Analytics & Fraud Detection (Python, Spark, Databricks).
Key Responsibilities
Analyze data related to fraud from identity verification challenges
Architect and engineer Machine Learning / AI solutions for anomaly detection
Improve data quality through advanced data modeling and implement ETL technologies
Required Qualifications
3+ years of experience as a data engineer or data analyst
3+ years of experience with Machine Learning / AI-based solutions
Experience with data platforms and analytics tools (Databricks and Zingg)
Proficiency in NoSQL, R, or Python and Spark
Experience with advanced data modeling and entity resolution
Data Scientist • Savannah, Georgia, United States