Senior Data Scientist, Applied AI and Agentic Solutions Engineer

Model complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The data scientist conducts experiments and methodologies to generate and collect data for business use. Mines available data to identify trends and patterns and generates insights for LOBs and senior leadership

Partners with LOBs to identify questions and issues for data analysis and experiments

Performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns

Constructs predictive models, algorithms, and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers

Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources

Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions

Uses advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems

Participates in research and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make dat