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Data Scientist

This position is with a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. To fill this role, you must have Active TS/SCI security clearance with the full scope Polygraph that is required.

Position Responsibilities:

• 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

Required Degree and

Experience:

• Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience
• Master's Degree + 5 years of experience
• PhD + 2 years of experience

Required Skills:

• Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
• 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.