Senior Data Scientist II

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact? This Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions, collaborating closely with engineering, product, and platform teams.

Requirements

• Proven Data Science 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 (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch)
• 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 such as AWS and Azure
• 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