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, Gen AI) 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 Gen AI/LLMs where ...

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