Jobs

Purpose:
Join MITRE, a Fortune 100 Best Company to Work For in 2007 and apply your expertise to the development of advanced approaches and technologies to solve our nation's most critical technological problems! Work with senior government offices, in partnership with diverse customer groups to support the information management of their large scale modernization challenges.

Key Functions

• Responsible for formulating problems based on mission needs, selecting, modifying and/or building appropriate tools or methodologies, and providing solutions for diversified challenging data mining and data research projects.

• Demonstrate experience in the analysis of large data sets focused on mathematical modeling, statistical modeling or data mining to derive plausible hypotheses, the application of mathematical formulas to hypotheses to create well-defined models for describing phenomena, and the transformation of mathematical models into tractable algorithms.

• Developing classification, regression, and density estimation models, to support identification and ranking of compliance issues

Desired Education/Experience
BS in Computer Systems Engineering or related Computer Science, MS preferred. Experience across a number of engineering disciplines with 7 plus years of experience in one or more of the following areas: data mining, artificial intelligence, and modeling and analysis.

Required Skills:

• Demonstrated experience in exploratory data analysis and data mining process of large data sets
• Software development skills (C/C++, Perl, Java, SQL, etc.)
• Creation and implementation of statistical predictive models including such algorithms as neural networks, decision tress, regression, clustering, association etc
• Knowledge of major data mining platforms and applications and experience using major statistical analysis packages
• Experience with Systems Engineering or Systems Integration, including COTS integration, and system architecture design
• This person should be familiar with model selection based on resampling; e.g. using cross validation to select hyperparameters (the parameters used to construct a model).
• Experience assessing the statistical significance of performance differences between models is preferred; e.g. hypothesis testing to compare a model with new features to an already deployed model.

• Candidate will exhibit leadership qualities, have prior experience working with senior management to find solutions to client problems, and be able to provide guidance as needed to other team members.
• Strong experience in requirements definition, analysis, conducting customer interviews, and leading teams
• Experience with strategic planning and program development of large federal programs is strongly preferred

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