We are currently looking to hire an experienced Senior Data Scientist to 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. You will build models and/or develop experiments to generate data when training and 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 and implement prototype algorithms within production frameworks for integration into analyst workflows.

Requirements:

• Experience in working 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)

• Experience in translating customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes

• Experience in developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics

• Experience in evaluating and validating the performance of analytics using standard techniques and metrics (e.g., cross validation, ROC curves, confusion matrices)

• Experience in developing and training machine learning systems based on statistical analysis of data characteristics to support mission automation and lead a team of data scientists in the development of multiple analytic efforts

• Experience in working with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements and guide the transition of prototyped analytics to production system

• Experience in understanding emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions and delegate analysis responsibilities to one or more team members and monitor performance

• Ten (10) years' experience analyzing datasets and developing analytics using tools such as R, Python, SAS or MATLAB

• Bachelor's and 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)

• Active TS/SCI clearance with Polygraph

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