Data Scientist

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, building and optimizing models for advanced risk analytics and generative AI applications. Be the "Translator": Collaborate daily with the organization's highly cross-functional team of Economists, Political Scientists, and Developers. The hire will transform abstract, non-technical research ideas into production code, and explain complex algorithmic outputs to non-technical stakeholders with clarity and ease.

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