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 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.
- Bachelors degree required in data science statistics computer science or related field.
Data ScientistSystems 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 ...
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 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.
- Bachelors degree required in data science statistics computer science or related field.
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