Intelligent Systems ArchitectSystems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions. We are seeking a highly skilled Intelligent Systems Architect to help the FBI uncover actionable insights from vast and complex data sets.
This role focuses on identifying enterprise-level toolsets, applying advanced data mining techniques, and building predictive models that integrate with FBI systems. The ideal candidate will be a strategic thinker with deep technical expertise and the ability to communicate findings clearly across all levels of the organization.Responsibilities:Select, build, and optimize machine learning classifiers using advanced techniquesApply state-of-the-art data mining methods to extract meaningful patternsEnhance data collection procedures to ensure relevance for analytic systemsCleanse, process, and validate data integrity for analysisConduct ad-hoc analyses and present results in a clear, actionable formatDevelop and monitor automated anomaly detection systemsDesign innovative approaches for handling and analyzing large-scale data setsAddress fundamental challenges in data handling, search, and retentionSolve complex data storage and retrieval issuesDevelop software solutions to improve data search and access processesAnalyze results and deliver recommendations that support mission objectives.Qualifications:Must be US CitizenRequires a Top-Secret clearance (SCI Poly may be required later).Strong understanding of machine learning algorithms (e.g., kNN, Naive Bayes, SVM, Decision Forests)Proficiency with data science toolkits such as R, Weka, NumPy, and MATLABExcellent communication and presentation skillsExperience with tools like Microsoft Power BI, Anaconda, and SPSSSkilled in data visualization using D3.js, GGplot, or similar platformsProficient in SQL and Hive for querying large datasetsExperience with NoSQL databases (e.g., MongoDB, Cassandra, HBase)Solid foundation in applied statistics (distributions, testing, regression)Strong scripting and programming capabilities.Minimum 5 years of experience supporting data-driven projects of similar scope.Bachelor's degree required in data science, statistics, computer science or related field.