Senior Data Scientist, Applied AI and Agentic Solutions Engineer

About the Role

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 data analysis more efficient and to create new data-driven capabilities and insights Supports user experience specialists and information architects to enhance information visualization through development of dashboards and user interface best practices to analytics and product teams and provides consultations for their data-based experimentations Assists in communicating Enterprise data governance principles throughout the company Job Specifications Typically has the following skill

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.