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
Data Scientist
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.
Systems Integration, Inc. (SII)
is a leading provider of customer experience, data analytics and digital transformation solutions. We are seeking a highly skilled
Data Scientist
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.