Data Scientist

RELX · Pennsylvania, United States · 1 mo ago

Engineering$115k–$192k/yrFull-time

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.
Consult on and deliver customer-focused projects including proof of values, proactive analytics, go-lives, optimizations, and custom models.
Inspire and support research that further improves the capabilities and tools available within the team.
Present complex patterns of behavior using data and models in a simple manner to non-technical audiences.
Develop and maintain strong best practices for the team to further scale and grow and help streamline deliverables.
Collaborate with LexisNexis Risk Solutions teams including Products, Engineering, Sales, and your colleagues to continually share and redefine best practices and help shape and improve our products.

Experience with Git and Jira to guide and scope research projects.
Strong knowledge of SQL, Python, Excel, and LUA.
Quantitative skills to deliver insights on evolving fraudster behaviors.
Ability to quickly learn and apply new tools to help the team with deliverables.
Constantly curious and strong problem-solving skills to transform uncertainty into value-add opportunities for customers.
Attention to detail and strong storytelling abilities through data for external and executive audiences.
Leverage BI tools such as SuperSet, PowerBI, Snowflake, CoPilot, Jupyter to identify and respond to anomalies and emerging industry trends.
Broad knowledge of cybercrime and expertise in supporting various industries (Financial Services, E-commerce, Gaming, Telecommunications).
Multitasking and prioritization skills to excel in a fast-paced environment with frequently changing customer priorities.

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