LexisNexis Risk Solutions is seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud, aiming to deliver impactful insights and scalable solutions.
Requirements
- Experience in predictive modeling.
- Proficiency in SAS, R, Python, and Big Data technologies.
- Fraud analytics experience is a plus.
Responsibilities
- Build and deploy machine learning models using R, Python, SAS, and SQL.
- Develop cloud-based analytic solutions and integrate them into enterprise systems.
- Analyze large datasets to uncover insights and support product development.
- Collaborate with stakeholders to validate scoring code and ensure model accuracy.
- Document methodologies and follow best practices in statistical modeling.
Other
- Computer Science, Statistics, Mathematics, or related field
- Strong communication skills and ability to work cross-functionally.
