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Scientist","data-scientist-jbfzryhd","https:\u002F\u002Fjob-boards.greenhouse.io\u002Fgrvty\u002Fjobs\u002F4091511009","TS\u002FSCI",[363],"Data Science",[365],"Doral, FL","\u003Cp>\n    \u003Cstrong>\n        What You'll Be Owning:\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cp>\n    We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.\n\u003C\u002Fp>\n\u003Cp>\n    \u003Cstrong>\n        What You Must Have:\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Active TS\u002FSCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications\u002Ftrainings can be used in lieu of years of experience)\n    \u003C\u002Fli>\n    \u003Cli>\n        Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.\n    \u003C\u002Fli>\n    \u003Cli>\n        Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience in data mining, database manipulation, and maintaining structured analytic datasets.\n    \u003C\u002Fli>\n    \u003Cli>\n        Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with Python\u002FR scientific computing libraries (NumPy, Pandas, etc.)\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.\n    \u003C\u002Fli>\n    \u003Cli>\n        Proficiency in data preprocessing, feature engineering, and preparing structured\u002Funstructured datasets for advanced analysis.\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.\n    \u003C\u002Fli>\n    \u003Cli>\n        Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.\n    \u003C\u002Fli>\n    \u003Cli>\n        GEOINT \u002F Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events.\n    \u003C\u002Fli>\n    \u003Cli>\n        Conduct multi-INT research to augment imagery analysis and provide mission-specific context.\n    \u003C\u002Fli>\n    \u003Cli>\n        Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.\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 building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience supporting DoD and IC report production, briefings, and formal analytic publications.\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.\n    \u003C\u002Fli>\n    \u003Cli>\n        Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.\n    \u003C\u002Fli>\n    \u003Cli>\n        Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.\n    \u003C\u002Fli>\n    \u003Cli>\n        Knowledge of Structured Observation Management tools and\u002For Object-Based Production methodologies.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.\n    \u003C\u002Fli>\n    \u003Cli>\n        Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.\n    \u003C\u002Fli>\n    \u003Cli>\n        An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR\n    \u003C\u002Fli>\n    \u003Cli>\n        An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206\n    \u003C\u002Fli>\n    \u003Cli>\n        An understanding of how to operationalize the analytic output—shape\u002Fframe it in a way that supports operational planning\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    #LI-GM1\n\u003C\u002Fp>\n",1781442832277]