LexisNexis Risk Solutions in Minnesota is seeking a Data Scientist to lead predictive modeling and analytics across risk and fraud domains. The ideal candidate will build and deploy models using SAS, R, Python, and SQL, analyze large datasets, and collaborate with stakeholders to validate scoring code and ensure model accuracy.
The role offers a comprehensive benefits package and a supportive, fast-paced environment.
#J-18808-LjbffrLead Data Scientist, Risk & Fraud Analytics in mn at Unknown Company
This position is listed as full time and onsite.