Lead Data Scientist with Prophet, Python

We're looking for a Lead Data Scientist to create data-driven "should-cost" models that predict fair pricing for goods and services, using time-series and econometric approaches to power procurement analytics.

Responsibilities

• Build "should-cost" models through time-series and econometric methods
• Integrate macroeconomic factors and economic indicators as cost drivers
• Model relationships linking commodity prices, spend data, and external economic variables
• Ensure model outputs are interpretable to stakeholders by highlighting the factors behind each cost estimate
• Use time-series cross-validation techniques to guarantee model reliability
• Guard against data leakage and overfitting within time-series models
• Differentiate between correlation and cointegration, identifying when each is applicable
• Choose appropriate features for econometric and time-series models
• Utilize spend data and