Intelligent Systems Architect

Data Scientist

Systems 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 techniques
• Apply state-of-the-art data mining methods to extract meaningful patterns
• Enhance data collection procedures to ensure relevance for analytic systems
• Cleanse, process, and validate data integrity for analysis
• Conduct ad-hoc analyses and present results in a clear, actionable format
• Develop and monitor automated anomaly detection systems
• Design innovative approaches for handling and analyzing large-scale data sets
• Address fundamental challenges in data handling, search, and retention
• Solve complex data storage and retrieval issues
• Develop software solutions to improve data search and access processes
• Analyze results and deliver recommendations that support mission objectives.

Qualifications:

• Must be US Citizen
• Requires 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 MATLAB
• Excellent communication and presentation skills
• Experience with tools like Microsoft Power BI, Anaconda, and SPSS
• Skilled in data visualization using D3.js, GGplot, or similar platforms
• Proficient in SQL and Hive for querying large datasets
• Experience 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.