Senior Data Scientist with Prophet, Python

We are seeking a Senior Data Scientist to build data-driven "should-cost" models that estimate what goods and services ought to cost, leveraging time-series and econometric methods to support procurement analytics.

Responsibilities

• Develop "should-cost" models using time-series and econometric methods
• Incorporate macroeconomic factors and economic indicators as drivers of cost
• Model the relationships between commodity prices, spend data, and external economic variables
• Make model outputs explainable to stakeholders, showing which factors drive each cost estimate
• Apply time-series cross-validation techniques to ensure model robustness
• Prevent data leakage and overfitting in time-series models
• Distinguish between correlation and cointegration, and determine when each applies
• Select relevant features for time-series and econometric models
• Work with spend data and commodity price