(USA) Senior Manager, Data Science - AI Agent Development

Job description

Position Summary... What you'll do... Model Assessment and Validation: Requires knowledge of model fit, testing, tuning, and validation techniques (e.g., Chi-square, ROC curve, root mean square error, etc.), impact of variables and features on model performance, to identify the model evaluation metrics. Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multistage models and model ensembles. Data Visualization: Requires knowledge of visualization guidelines and best practices for complex data types; multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI, etc.); advanced visualization techniques/tools; multiple story plots and structures; OABCDE communication, influencing technique, emotional intelligence. To generate appropriate graphical representations of data and model outcomes, understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front-end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder (under guidance) and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Understanding Business Context: Requires knowledge of industry and environmental factors, common business vernacular, business practices across two or more domains (such as product, finance, marketing, sales, technology, business systems, and human resources), and in-depth knowledge of related practices, directly relevant business metrics, and business areas. To provide recommendations to business stakeholders to solve complex business issues, develop business cases for projects with a projected return on investment or cost savings, translate business requirements into projects, activities, and tasks, and align to overall business strategy and develop domain-specific artifacts. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Analytical Modeling: Requi…