Data Scientist

LexisNexis Risk Solutions

Minnesota, US
Base: $77,300.00 - $128,700.00; bonus/equity: not ...
Build and deploy machine learning models
Proficiency in sas, r, python, and sql
Experience with big data technologies
The role involves leading predictive modeling and statistical analysis across risk and fraud domains

Job Summary

  • The role involves leading predictive modeling and statistical analysis across risk and fraud domains.
  • Candidates will build and deploy machine learning models using R, Python, SAS, and SQL to deliver scalable solutions.
  • Benefits include comprehensive health coverage, a 401(k) match, and up to two days of paid leave for volunteering.

Matching Summary

The role involves leading predictive modeling and statistical analysis across risk and fraud domains.

Salary

Base: $77,300.00 - $128,700.00; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, vision, 401(k) match, wellness platform

Skills & Requirements

Must-have

  • Build and deploy machine learning models
  • Proficiency in SAS, R, Python, and SQL
  • Experience with Big Data technologies
  • Develop cloud-based analytic solutions
  • Strong communication skills

Nice-to-have

  • Fraud analytics experience
  • Cross-functional collaboration
  • Proactive and reactive analysis
  • Fast-paced problem-solving environment

Key Requirements

  • Computer Science, Statistics, Mathematics, or related field degree
  • Experience in predictive modeling
  • Proficiency in data mining and analytics

Work Rights

Not specified

Tailored Resume

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