Data Scientist Job at BlueHalo
Overview:
Qualifications:
Being on the BlueHalo team means working alongside the brightest minds in technology on the toughest challenges facing our nation – not just every once in a while, but every single day. Together, we are leading the transformation of modern warfare and each BlueHalo employee plays a key role. That’s why our investment in you goes beyond a rewarding salary and 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. Having fun doing it with a team that feels like family all across BlueHalo Nation is the ultimate perk. From Space and Directed Energy to Cyber and Intelligence to C4ISR and Air & Missile Defense, there is no limit to where you can take your career with us. Are you ready to launch a career at BlueHalo?
Responsibilities:
The 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.
- Produce data visualizations that provide insight into dataset structure and meaning
- Work 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
- Develop experiments to collect data or models to simulate data when required data are unavailable
- Develop feature vectors for input into machine learning algorithms
- Identify the most appropriate algorithm for a given dataset and tune input and model parameters Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
- Oversee the development of individual analytic efforts and guide team in analytic development process
- Guide analytic development toward solutions that can scale to large datasets
- Partner with software engineers and cloud developers to develop production analytics
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
- Bachelor's degree from an accredited college or university in a quantitative discipline
- Five years of experience analyzing datasets and developing analytics OR Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
- An active TS/SCI with a Polygraph
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