We are seeking for Senior Data Scientist in Charlottesville to support our prime program. This is a premier program in the industry that advances the use of tactical and strategic Identity Intelligence tradecraft to inform decision-makers, from ground force commanders to international partners and national security policymakers. Our employees lead the Intelligence community in providing superior Identity Intelligence analysis and developing innovative data-driven solutions, supporting the customer through intelligence analysis and tradecraft proliferation
Responsibilities\:
Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include\: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.#javelin
*We are seeking for Senior Data Scientist in Charlottesville to support our prime program. This is a premier program in the industry that advances the use of tactical and strategic Identity Intelligence tradecraft to inform decision-makers, from ground force commanders to international partners and national security policymakers. Our employees lead the Intelligence community in providing superior Identity Intelligence analysis and developing innovative data-driven solutions, supporting the customer through intelligence analysis and tradecraft proliferation
Responsibilities\:
Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include\: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.#javelin
*• Collaborate with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions.
• Mine and analyze data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments.
• Develop, test and verify TTPs for coordinating flow of information.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Train front-end users of knowledge management tools.
• Coordinate with various functional teams to implement models and monitor outcomes.
• Create predictive modeling to increase and optimize customer experiences.
• Develop custom data models and algorithms to apply data sets.
• Proficiency in at least one of the following languages\: Python, R, Java, C , as applied to programming and manipulation of data.
• Current certification of, or ability to obtain CompTIA Security certification within 60 days of hire.
• Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).
• Experience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.
• Knowledge and experience in statistical and data mining techniques and social network analysis.
• Knowledge and understanding of Department of Defense (DoD) and Intelligence Community (IC) operations, data infrastructure and architecture.
• Familiar with DoD/IC activities, functions and organizational structures.
• Experience in simplification and optimization of data automation workflows; streamlining of extract-transform-load (ETL) operations.
• Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry recognized IT architecture certification program.
• Knowledge of IT related disciplines\: Software Development Life Cycle (SDLC), including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage.
• Knowledge of modeling approaches\: Unified Modeling Language (UML), Business Process modeling, and Data Modeling.
Clearance Required\: TS/SCI
Minimum Education\: Masters degree
Minimum Years of Experience\: 12 yrs relevant experience, 17 yrs w/ Bachelor’s Degree
• Collaborate with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions.
• Mine and analyze data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments.
• Develop, test and verify TTPs for coordinating flow of information.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Train front-end users of knowledge management tools.
• Coordinate with various functional teams to implement models and monitor outcomes.
• Create predictive modeling to increase and optimize customer experiences.
• Develop custom data models and algorithms to apply data sets.
• Proficiency in at least one of the following languages\: Python, R, Java, C , as applied to programming and manipulation of data.
• Current certification of, or ability to obtain CompTIA Security certification within 60 days of hire.
• Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).
• Experience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.
• Knowledge and experience in statistical and data mining techniques and social network analysis.
• Knowledge and understanding of Department of Defense (DoD) and Intelligence Community (IC) operations, data infrastructure and architecture.
• Familiar with DoD/IC activities, functions and organizational structures.
• Experience in simplification and optimization of data automation workflows; streamlining of extract-transform-load (ETL) operations.
• Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry recognized IT architecture certification program.
• Knowledge of IT related disciplines\: Software Development Life Cycle (SDLC), including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage.
• Knowledge of modeling approaches\: Unified Modeling Language (UML), Business Process modeling, and Data Modeling.
Clearance Required\: TS/SCI
Minimum Education\: Masters degree
Minimum Years of Experience\: 12 yrs relevant experience, 17 yrs w/ Bachelor’s Degree