Data Scientist I

The Data Scientist will contribute to data science, data analysis, and product innovation in data science projects within the FiscalNote Global Intelligence (FNGI) data team with a focus on the DragonFly brand. This is a full-time, permanent position. This role is U.S. remote with the option to go to the FiscalNote’s Washington D.C. offices on a voluntary basis. The Data Scientist is contracted to work 40 hours a week.

The Data Science and Analysis function is responsible for ensuring FNGI’s Editorial, Research (primarily) and Advisory teams are able to effectively collect, analyze, and exploit data as they deliver intelligence and analysis products to our global client base. 

The Data Science and Analysis function is integral to the evolution of FiscalNote’s offering in research and editorial work and is at the forefront of building tools to drive forward our goals of greater automation, operational efficiency, innovation, and insight throughout our intelligence analysis, editorial, and product development processes. In addition to editorial work, it works closely with data scientists and engineers across FiscalNote to fulfill our product development and operational efficiency strategies and contribute support to commercial and marketing functions as required to support growth initiatives. 

You have a high level of technical competence in data science, analysis, and data engineering. Learning new techniques and technologies is exciting for you, and you actively seek out opportunities to grow. You demonstrate a strong grasp and working knowledge of intelligence and risk assessment methodologies, political and social science, and of security, stability, environmental, and geopolitical issues.  

You take the initiative to solve problems and innovate and be able to engage and collaborate effectively with both technical and non-technical subject matter expert colleagues to achieve goals and deliver on data projects. You are able to act as an effective collaborative partner with other teams on projects and are comfortable working independently.