Senior Data Scientist II

We are seeking a Senior Data Scientist II to develop and implement analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. The ideal candidate will have hands-on experience building, operationalizing, and integrating models into production systems and will collaborate closely with engineering, product, and platform teams to turn complex data into trusted, production-ready insights.

Requirements

• Proven Data Science experience
• Advanced academic experience—such as a Master’s degree or Doctoral degree in a related discipline—may substitute for part of the required experience
• Solid experience in applying machine learning and statistical techniques to real-world problems
• Hands-on experience developing, evaluating, and iterating on predictive and machine learning models
• Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques
• Experience working with structured and unstructured data at scale
• Proficiency in Python and/or R using common data science and machine learning libraries
• Experience working with SQL and relational or cloud-based data platforms
• Hands-on experience developing and running data science and AI workloads in cloud environments
• Experience training, fine-tuning, or evaluating neural network–based models as part of applied machine learning solutions
• Experience in applying software engineering best practices to data science codebases

Benefits

• Medical Inpatient and Outpatient Insurance
• Life Assurance Policies
• Modern Family Benefits
• Long Service Award
• Celebratory Allowance/Gifts
• Flexible Benefits Plan
• Employee Assistance Program
• Flexible Working Arrangements
• Access to Learning and Development Resources