Lead Data Scientist / VP

The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle.

will design analytical approaches, develop and validate models, build Generative AI and agentic workflows, and partner with data engineers and technology teams to implement scalable production solutions. The successful candidate will combine strong data-science expertise with practical engineering skills, enterprise implementation experience, and an understanding of governance requirements.

will also provide technical guidance to other data scientists and help establish reusable methods, coding standards, and implementation practices. Key

Advanced Analytics and Statistical Modeling Design and implement statistical analyses, predictive models, machine-learning solutions, and analytical frameworks. Translate workforce and organizational questions into measurable hypotheses, appropriate methodologies, and actionable insights. Apply techniques such as regression, classification, clustering, survival analysis, forecasting, experimentation, and causal inference.

Perform feature engineering, variable selection, model tuning, validation, sensitivity testing, and performance evaluation. Apply explainability methods such as SHAP, feature attribution, and scenario analysis. Clearly document and communicate analytical assumptions, limitations, findings, and business implications.

Generative AI and Agentic Solutions Design and build Generative AI applications, R