Senior Data Scientist Ii

LexisNexis Risk Solutions

Alpharetta, GA, United States
Base: $104,900 - $174,700; bonus/equity: eligible ...
On-site
Machine learning and statistical models
Full modeling lifecycle
Operationalize models in production
LexisNexis Risk Solutions is seeking a Senior Data Scientist II to develop machine learning and AI solutions specifically in the healthcare domain. The role involves executing complex analytical projects and collaborating closely with various teams to translate data insights into actionable business outcomes

Job Summary

  • The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions.
  • This position is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems.
  • You’ll join a collaborative, high‑impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production‑ready insights that drive smarter decisions across the insurance lifecycle.

Matching Summary

Match Score: 85

LexisNexis Risk Solutions is seeking a Senior Data Scientist II to develop machine learning and AI solutions specifically in the healthcare domain. The role involves executing complex analytical projects and collaborating closely with various teams to translate data insights into actionable business outcomes.

Salary

Base: $104,900 - $174,700; Bonus/Equity: eligible for annual incentive bonus; Benefits: Medical, Life Assurance, Modern Family Benefits, Flexible Benefits Plan, EAP, Learning & Development

Skills & Requirements

Must-have

  • machine learning and statistical models
  • full modeling lifecycle
  • operationalize models in production
  • Python and/or R proficiency
  • SQL and relational data platforms
  • cloud environments (AWS, Azure)
  • large language model solutions

Nice-to-have

  • healthcare domain expertise
  • translate advanced models
  • collaborative, high-impact analytics team
  • real-world impact

Key Requirements

  • Master’s degree or Doctoral degree
  • Proven Data Science experience
  • Hands-on experience developing predictive models
  • Experience with structured and unstructured data
  • Experience with neural network-based models
  • Software engineering best practices

Work Rights

Not specified

Tailored Resume

Cover Letter