iNovex Information Systems
Data Scientist 3
iNovex Information Systems, Aurora, Colorado, United States, 80012
As a Data Scientist, you will enjoy cutting-edge work developing creative solutions to address data analytics challenges, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested entities. Join a tremendously talented technical team solving hard problems with true mission relevance on emerging technologies.
Required Education and Experience:Active TS/SCI with polygraphBachelor's Degree with 10 years of relevant experience OR Associates degree with 12 years of relevant experienceBachelor's Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in National Agency data holdings.Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations.Knowledge of agency-specific tools and methodologies.Strong critical thinking and collaboration skills.Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Nice To Have:Experience with scripting languages, including C Shell, BASH, Python, or PerlKnowledge of CNO and CNE methodologies and tradecraftFamiliarity with dataflow and SIGINT architectureExperience with external engagements and stakeholder collaborationKnowledge of processes and tools related to SIGINT discovery analysisCompletion of military training in a relevant area, including Joint Cyber Analysis course (JCAC), Undergraduate Cyber Training (UCT), Network Warfare Bridge Course (NWBC), and Intermediate Network Warfare Training (INWT), or Cyber Defense OperationsMilitary training in networking, computer science, or cyber topics
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Required Education and Experience:Active TS/SCI with polygraphBachelor's Degree with 10 years of relevant experience OR Associates degree with 12 years of relevant experienceBachelor's Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in National Agency data holdings.Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations.Knowledge of agency-specific tools and methodologies.Strong critical thinking and collaboration skills.Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Nice To Have:Experience with scripting languages, including C Shell, BASH, Python, or PerlKnowledge of CNO and CNE methodologies and tradecraftFamiliarity with dataflow and SIGINT architectureExperience with external engagements and stakeholder collaborationKnowledge of processes and tools related to SIGINT discovery analysisCompletion of military training in a relevant area, including Joint Cyber Analysis course (JCAC), Undergraduate Cyber Training (UCT), Network Warfare Bridge Course (NWBC), and Intermediate Network Warfare Training (INWT), or Cyber Defense OperationsMilitary training in networking, computer science, or cyber topics
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