Systems Integration, Inc.
Machine Learning Scientist
Systems Integration, Inc., Washington, District of Columbia, us, 20022
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
Machine Learning 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.
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Systems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions. We are seeking a highly skilled
Machine Learning 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.
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