IC32DS2 - Mid Level Data Scientist - Cleared

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.

Requirements

TS/SCI with poly required

• 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.

Benefits