Data Scientist - Fraud Detection

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