This is not a standard corporate data science role. The hiring organization is actively pivoting from a traditional, research-heavy model into a forward-thinking, analytics-first powerhouse.

As their foundational Data Scientist hire, the successful candidate will escape the burden of legacy systems and clunky technical debt. Instead, they will be given a clean, greenfield mandate to bridge the gap between academic-style macroeconomic/geopolitical research and production-grade machine learning. The chosen candidate will actively set the architectural and software engineering standards for the entire business line from day one.

How You’ll Make an Impact

• Build Greenfield Pipelines: Design, prototype, and scale end-to-end data pipelines and robust ML models to extract deep insights from massive structured and unstructured datasets.
• Drive NLP Innovation: Take ownership of a proprietary NLP data generation process, build...