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.

As part of this exciting endeavor, you will be at the forefront of developing cutting-edge analytics solutions, knowledge management artifacts, information sharing tools, data transformation techniques, and malware analysis capabilities. These focus areas will play a vital role in advancing our understanding of the ever-evolving threat landscape and enabling us to proactively address emerging challenges.

• Employ some combination (2 or more) of the following areas:
  1. Foundations (Mathematical, Computational, Statistical)
  2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
  3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets.
• 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.
• 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.
• Work with current project teams to support ongoing intelligence focused projects.
• Develop/code/program software to support ongoing project work with minimal supervision.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Be able to ask questions and communicate issues and problems clearly to peers and management.                
• Effectively communicate complex technical information to non-technical audiences.
• Can work with others easily and effectively.
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting intelligence community collection, processing, storage and analytic capabilities and limitations.

MUST have a TS/SCI Clearance w/ FS Poly

 

Degree Level:

- 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.

OR

- Bachelor’s degree and 3 years of relevant experience.

 

Relevant Experience:

• 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)
• 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.
• Understand and have experience in data management (e.g. data cleaning and transformation) including, but not limited to, data mining, data modeling and assessment.
• Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools.
• 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.
• Experience with designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) is a plus.
• Ability to understand and study issues and solve problems.

Degree Specialization:

- MUST be in one of the following:

• Mathematics and/or Applied Mathematics
• Statistics and/or Applied Statistics
• Machine Learning
• Data Science
• Operations Research
• Computer Science
• Computer Engineering
• 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).

NOTE: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

 

#NOVAjobsddc

 

This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

 

 

#LinkedIn-DNP

#LI-DNP

#LI-DNP

Dine Development Corporation (DDC) delivers a robust suite of IT solutions designed to help our clients address the challenges of the digital revolution and embrace the opportunities of digital transformation. We provide a full spectrum of IT solutions that support clients in the defense, healthcare, national security, law enforcement, and intelligence communities. With a central focus on innovation, we translate modern technologies, industry best practices, and proven methodologies into client-driven solutions. Our teams of technologists are organized around digital solutions in the areas of systems/software engineering, data management, cloud adoption, and cybersecurity. As thought leaders and strategic partners, we provide a deliberate mix of people, processes, and technology to advance mission goals. Our IT companies have been consistently recognized for driving mission success through process efficiencies, reduced costs, and exploited technologies