Data Scientist

Data Scientist (Active TS/SCI with Full Scope Poly Clearance Required)

Location: Fort Mead, MD - Onsite Relocation: Not offered but a sign on bonus can help offset moving expenses Full-time employment

Job Summary

Providing analytic solutions to hundreds of companies across numerous industries, with exposure to a wide range of techniques and tools. Position Responsibilities:

• A 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.

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
• Masters Degree + 5 years of experience
• PhD + 2 years of experience

Must have:

• 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 is 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.