Lead Data Scientist, Risk & Fraud Analytics

relx

Minnesota

On-site

USD 77,000 - 129,000

Full time

6 days ago

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Benefits offered by this job

Health benefits

401(k) with match

Employee Share Purchase Plan

Wellbeing platform

Job summary

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.

Qualifications

Degree in Computer Science, Statistics, Mathematics, or related field.
Experience in predictive modeling.
Proficiency in SAS, R, Python, and SQL; familiarity with Big Data technologies.
Strong communication skills and ability to work cross-functionally.
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.