HRB
Security Clearance
An active government clearance, background investigation, and polygraph are required for this position Overview
A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Responsibilities
Prototype or consider several algorithms and decide upon final model based on suitable performance metrics; Build models or develop experiments to generate data when training or example datasets are unavailable; Generate reports and visualizations that summarize datasets and provide data-driven insights to customers; Partner with subject matter experts to translate manual data analysis into automated analytics; Implement prototype algorithms within production frameworks for integration into analyst workflows. Qualifications
A Bachelor\'s degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you\'re a fit? Submit your resume and we will contact you via email to let you know!
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An active government clearance, background investigation, and polygraph are required for this position Overview
A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Responsibilities
Prototype or consider several algorithms and decide upon final model based on suitable performance metrics; Build models or develop experiments to generate data when training or example datasets are unavailable; Generate reports and visualizations that summarize datasets and provide data-driven insights to customers; Partner with subject matter experts to translate manual data analysis into automated analytics; Implement prototype algorithms within production frameworks for integration into analyst workflows. Qualifications
A Bachelor\'s degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you\'re a fit? Submit your resume and we will contact you via email to let you know!
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