Data Scientist

Are you looking for a Client Facing Data Scientist role to help drive innovation in the fraud detection space?

About the role : As a collaborative Data Scientist you will use and suggest new tools to optimize models and policies leveraging thousands of data points from a variety of LexisNexis Risk Solutions productions including ThreatMetrix, Emailage, BehavioSec, Fraud Intelligence, PhoneFinder and others on the Dynamic Decision Platform.

About the team : This client facing team is driving evidence-based solutions to help our clients make more informed decisions and help mitigate risk and build trust for their customers.

About the Business LexisNexis® Risk Solutions provides customers with innovative technologies, information-based analytics, decisioning tools and data management services that help them solve problems, make better decisions, stay compliant, reduce risk and improve operations.

Headquartered in metro-Atlanta, Georgia it operates within the Risk market segment of RELX , a global provider of information-based analytics and decision tools for professional and business customers.

Responsibilities

Analytics : Use and suggest new tools and scripts to optimize models and policies leveraging thousands of data points from the ThreatMetrix Digital Identity Network as well as other LexisNexis Risk Solutions products on the Dynamic Decision Platform.

Consulting: Scope, plan and deliver customer focused projects including proof of values, proactive analytics, go-lives, optimizations, and custom models. Innovation : Inspire and support research that further improves the capabilities and tools available within the team.

(Recent examples include design of a globally adopted genetic algorithm, feature engineering over cellphone sensor data, centralized code repository, network analysis over UK banking industry). Experience with Git and Jira to help guide and scope these research projects are required.

Presentation : Clearly explain complex patterns of behavior using