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Company | Diné Development Corporation |
Address | Odenton, MD, United States |
Employment type | FULL_TIME |
Salary | |
Category | Executive Offices |
Expires | 2023-07-21 |
Posted at | 10 months ago |
We are thrilled to announce that NOVA, a leading organization in advanced technology and data analysis, has been selected to undertake a highly prestigious project in collaboration with one of our esteemed agencies. We are actively seeking talented individuals to join our team for this groundbreaking initiative, which is set to span over the next five years. The project is based in Fort Meade, MD, where you will have the chance to contribute to solving global challenges by transforming complex data sets into actionable information.
- Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting intelligence community collection, processing, storage and analytic capabilities and limitations.
- Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
- Work with current project teams to support ongoing intelligence focused projects.
- Be able to ask questions and communicate issues and problems clearly to peers and management.
- Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
- Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
- Foundations (Mathematical, Computational, Statistical)
- Through analytic modeling, statistical analysis, programming (coding), and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to key intelligence community data holdings.
- Devise strategies for extracting meaning and value from large datasets.
- Employ some combination (2 or more) of the following areas
- Can work with others easily and effectively.
- Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
- Effectively communicate complex technical information to non-technical audiences.
- Develop/code/program software to support ongoing project work with minimal supervision.
- Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- Bachelor’s degree and 3 years of relevant experience.
- Understand and have experience in data management (e.g. data cleaning and transformation) including, but not limited to, data mining, data modeling and assessment.
- College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
- Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools.
- Experience with designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) is a plus.
- Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms.
- Have experience with statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
- Ability to understand and study issues and solve problems.
- Have experience with at least one of the following computer languages (in priority order) Python, Java, R, C, C++ or any other one that would be relevant. Experience with more than one language is preferred.
- Computer Science
- Statistics and/or Applied Statistics
- Physical/Hard Sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence).
- Operations Research
- Mathematics and/or Applied Mathematics
- MUST be in one of the following
- Computer Engineering
- Data Science
- Machine Learning
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