Help design, develop, and support machine learning models, algorithms, statistical models, and other programs designed to improve the public sector; Lead the collection of new data and the refinement of existing data sources. Work withlarge untapped data sets, including: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15cm/pixel), and the largest publicly available corpus of legal text; Implement and interpret the results of new experiments and studies in partnership with government agencies, researchers, non-profits, or other stakeholders; Lead testing, release, and maintenance processes and collaborate with technical staff to standardize and systemize data standards, elements, and metrics
Requirements:
A bachelor’s degree in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of relevant professional experience or a combination of education and relevant professional experience; Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software; Basic statistical ability
Text:
Data Scientist Help design, develop, and support machine learning models, algorithms, statistical models, and other programs designed to improve the public sector; Lead the collection of new data and the refinement of existing data sources. Work withlarge untapped data sets, including: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15cm/pixel), and the largest publicly available corpus of legal text; Implement and interpret the results of new experiments and studies in partnership with government agencies, researchers, non-profits, or other stakeholders; Lead testing, release, and maintenance processes and collaborate with technical staff to standardize and systemize data standards, elements, and metrics A bachelor’s degree in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of relevant professional experience or a combination of education and relevant professional experience; Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software; Basic statistical ability
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