Vacancy expired!
Description: Data Engineer/Scientist to support the Research & Development of behavioral intelligence products to identify fraud at the enterprise level Work location: Telecommute or client Circle. Product/Project Overview: Digital Intelligence Behavioral Systems-Uses digital, identity and behavioral data to identify anomalous activity, unauthorized access and fraudulent events within our digital properties. Integrates data from cyber, Industry and business sources Build scanners to meet the needs of a variety of internal clients. Please describe the team the candidate will be working with - 2 Engineering teams one specifically focused on this product. Team size is 8 people. What is the break-down of the teams skill sets: Capability Owner, Tech Lead, Data Engineers, Data Architect What are the top 5-10 responsibilities for this position; This role will be responsible for building out capabilities for existing and new clients to scan data for fraudulent activity. Technology utilized includes: pySpark (Python 3), Spark SQL , Big Data, Apache Hadoop, Kafka, Splunk, Oozie, Nifi, Databrick, GraphFrames API in Pyspark , Page Rank, Triangle Count Algorithms, Sci-kit . Looking for at least 1-2 years AI/ML experience on one of the two positions posted. What will the interview process look like? Video conference Are you open to candidates that cannot convert to FTE without sponsorship? No
Vacancy expired!