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model development and performance evaluation\n    \u003C\u002Fli>\n    \u003Cli>\n        Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems\n    \u003C\u002Fli>\n    \u003Cli>\n        Lead projects using advanced mathematical, statistical, and scientific techniques to:\n        \u003Cul>\n            \u003Cli>\n                Examine complex mission and operational problems\n            \u003C\u002Fli>\n            \u003Cli>\n                Create insights from data\n            \u003C\u002Fli>\n        \u003C\u002Ful>\n    \u003C\u002Fli>\n    \u003Cli>\n        Build web scraping algorithms for imagery curation in accordance with customer data priorities\n    \u003C\u002Fli>\n    \u003Cli>\n        Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities\n    \u003C\u002Fli>\n    \u003Cli>\n        Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities\n    \u003C\u002Fli>\n    \u003Cli>\n        Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives\n    \u003C\u002Fli>\n    \u003Cli>\n        Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping\n    \u003C\u002Fli>\n    \u003Cli>\n        Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities\n    \u003C\u002Fli>\n    \u003Cli>\n        Build software tools to manage labeling campaigns, including:\n        \u003Cul>\n            \u003Cli>\n                Tracking unlabeled and labeled data and campaign status\n            \u003C\u002Fli>\n            \u003Cli>\n                Transferring label task information via API-based movement between platforms\n            \u003C\u002Fli>\n        \u003C\u002Ful>\n    \u003C\u002Fli>\n    \u003Cli>\n        Build software tools to:\n        \u003Cul>\n            \u003Cli>\n                Filter and visualize data geospatially\n            \u003C\u002Fli>\n            \u003Cli>\n                Allow feedback entry and data analysis\n            \u003C\u002Fli>\n            \u003Cli>\n                Integrate with existing data management platforms\n            \u003C\u002Fli>\n        \u003C\u002Ful>\n    \u003C\u002Fli>\n    \u003Cli>\n        Conduct analysis of overall data holdings to support development of performant AI\u002FML models satisfying operational user requirements\n    \u003C\u002Fli>\n    \u003Cli>\n        Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What You Must Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Active TS\u002FSCI Clearance with the ability to obtain a CI\u002FPoly\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience working with AI\u002FML technologies and data systems\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience working with multiple file types including:\n        \u003Cul>\n            \u003Cli>\n                Geospatial file formats\n            \u003C\u002Fli>\n            \u003Cli>\n                JSON, XML, and related formats\n            \u003C\u002Fli>\n        \u003C\u002Ful>\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience in quantitative analysis and data operations, including:\n        \u003Cul>\n            \u003Cli>\n                Developing visualizations and processing complex data to create data-driven insights\n            \u003C\u002Fli>\n            \u003Cli>\n                Data manipulation and ETL procedures\n            \u003C\u002Fli>\n            \u003Cli>\n                Working knowledge of SQL and NoSQL database technologies\n            \u003C\u002Fli>\n        \u003C\u002Ful>\n    \u003C\u002Fli>\n    \u003Cli>\n        Development experience in Python and other languages for data cleaning and manipulation\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What Would be Nice to Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Experience applying Natural Language Processing (NLP) algorithms to extract data from documents\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices\n    \u003C\u002Fli>\n    \u003Cli>\n        Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling\n    \u003C\u002Fli>\n\u003C\u002Ful>\n"]