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.

Job Requirements

• 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
• Lead a team of data scientists in the development of multiple analytic efforts
• Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
• Guide the transition of prototyped analytics to production system
• Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
• Delegate analysis responsibilities to one or more team members and monitor performance

Qualifications

• Bachelor's or Master's degree, or higher, from an accredited college or university in a quantitative discipline (e.g. Statistics, Mathematics, Operations Research, Engineering, or Computer Science)
• 10+ years of experience analyzing datasets and developing analytics
• 10+ years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• Experience in software and/or cloud development desired
• Has a proven ability to learn quickly and works well both independently as well as in a team setting

A current U.S. government security clearance and background investigation is required and therefore all candidates must be a U.S. Citizen