Research Scientist

FiscalNote

(Washington, District of Columbia)
Full Time
Job Posting Details
About FiscalNote
FiscalNote is the leading Government Relations Management platform. Our mission is to build the world’s most powerful platform for analyzing government risk and opportunity. For organizations facing government impact, FiscalNote is the platform for professionals to plan and execute their organization’s government risk strategy. Organizations rely on FiscalNote because of its accurate and relevant information, cutting-edge analytics, and ease of use.
Summary
At the core of our advanced analytics are our research scientists -- designing, implementing, and deploying innovative solutions to a wide range of problems, such as predicting government action, analyzing the impact of regulatory documents, extracting patterns from web content, and modeling user behavior to personalize content relevance. Because we’re always identifying newer and more complex problems, we’re on the lookout for research scientists who thrive in environments catering to applicable analysis by day, and shoot-for-the-moon risk taking by night. You’ll lead the way in all stages of researching and developing insightful and actionable models and analysis, looking into the future and becoming an internal and external expert.
Responsibilities
* Lead research, design, and analysis for truly innovative utilization and development of new types of models and data * Perform exploratory analysis and prototyping * Engage with users to understand pain-points and foresee and drive development to meet those needs * Serve as expert and communicate technical expertise internally to both technical and non-technical team members, and externally through talks, publications
Ideal Candidate
**About You** You're a computer scientist looking to make an impact, a political scientist with a computational bend, an economist or statistician that yearns for more kinds of data, a machine learning specialist that wants to push the boundaries, or maybe even a physicist or mathematician who's making a transition. In any case, you become uncomfortable when you don’t understand something, and choose to relentlessly seek out solutions rather than ever give up. You also play it tight, but loose; setting broad goals, but adapting quickly as circumstances demand. Interested in both theory and application, you’re equally comfortable creating a novel model, as well as working with our Engineering team to productionize it. Excited by others’ ideas as much as yours, you view collaboration as a catalyst for innovation beyond your wildest dreams. **You Have** 5+ years of practical experience in one or more of the following: * Machine Learning: deep learning, graphical models, bayesian modeling, supervised/unsupervised learning, content personalization * Natural Language Processing: applications of ML to NLP, information extraction/retrieval, search * Computational Social Science: policy/legislative/regulatory analysis, financial analysis * Advanced degree in Computer Science/Statistics/Applied Math/Economics/Political Science/Law (or related discipline) preferred * Experience working with large structured and unstructured data sets in a distributed framework (preferably Hadoop, Spark, or Storm) * An independent motivation to solve problems and conduct research * Solid programming skills to quickly prototype, as well as develop, projects into production, preferably in Python * Excellent verbal, written, and visualize communication skills

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