Intelligent Systems Architect
Systems Integration LLC
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.
- 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.
Vacancy posted 2 days ago
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