Data Scientist

Joining the BlueHalo team means immersing yourself in a dynamic environment, working alongside the brightest minds in technology through some of the toughest challenges facing our nation today. We are spearheading the future of global defense, with every BlueHalo employee playing a key role in our success. That’s why our investment in you goes beyond competitive pay and a rewarding benefits package. We’re committed to providing our people with the best opportunities to develop their skills, share their knowledge, and push their innovative ideas to the cutting-edge. Enjoying this journey with a supportive team that feels like family throughout BlueHalo Nation is an unparalleled opportunity. From Space to C-UAS & Autonomous Systems to Electronic Warfare & Cyber, and Artificial Intelligence, at our company there is no limit to where you can take your career. Our mission is clear: to lead through innovation. Join the transformation and innovate with us.

OVERVIEW:

BlueHalo is seeking Data Scientists who 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.

You’d like to do this: 

• Produce data visualizations that provide insight into dataset structure and meaning
• Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
• Develop statistical tests to make data-driven recommendations and decisions

You’re required to have this:  

• Active Top Secret/SCI Security Clearance with polygraph
• Data Scientist 1 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.

In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

• Data Scientist 2 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.

A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience reducing the requirement to six (6) years of relevant experience analyzing datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of twelve (12) years of relevant experience a