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Data Scientist Level 2

Learn more about this opportunity below: 6344-TKO - Data Scientist Level 2

Clearance: TS/SCI FSP

Location: Ft. Meade

 

 

 

 

Required Skills:

Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.

 

Any exposure to algorithm development, machine learning, and related tools/disciples. This work will have a s/w aspect to it - but no specific language or tool as this position is currently evolving. The ability/wherewithal to wrangle data of varying styles, types, pedigrees into a form that allow the equivalent of pattern recognition type analytics.

 

Description:

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; 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.

 

Any exposure to algorithm development, machine learning, and related tools/disciples. This work will have a s/w aspect to it - but no specific language or tool as this position is currently evolving. The ability/wherewithal to wrangle data of varying styles, types, pedigrees into a form that allow the equivalent of pattern recognition type analytics.

Description

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