Lead Data Scientist

What You Get to Do: Technical & Architectural Leadership: • Define and own the ML and advanced analytics architecture supporting HR, benefits, and payroll products. • Design end-to-end, production-grade ML systems—from data ingestion and feature engineering to model serving, monitoring, and retraining. • Lead the selection and optimization of algorithms (tree-based models, deep learning, time- series forecasting, GenAI) with tradeoffs across accuracy, latency, scalability, and cost. • Establish best practices for model governance, explainability, bias detection, and compliance. Advanced Modeling & Forecasting: • Drive the development and validation of time-series and forecasting models (ARIMA/SARIMA, Prophet, state-space models, LSTM/transformers) for workforce planning, attrition, and financial forecasting. • Champion advanced experimentation, model evaluation frameworks, and statistical rigor across teams. • Leverage GenAI/LLMs where appropriate to enhance product intelligence and us...