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 framew...