Description
Employ some combination (2 or more) of the following skill areas:
Foundations: (Mathematical, Computational, Statistical)
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure
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
Make informed recommendations regarding competing technical solutions by maintaining awareness of technical tradeoffs between processing, storage, and analytic requirements
Work Experience
NOTE: Military Multiplier: Relevant military experience is credited as 1.25X years experience!
Bachelor’s Degree with 10 years of relevant experience
Associates degree with 12 years of relevant experience
Specialty Experience
None required
Relevant Experience
Programming (skill in at least one high-level language (e.g. Python)),
JupyterLab
REST API network calls
Visualization software (Plotly, Bokeh, Matplotlib)
Designing/implementing machine learning
Advanced analytical algorithms
Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application oflinear models)
Data management (e.g. data cleaning and transformation)
Data mining
Data modeling and assessment
Artificial intelligence
Software engineering
Experience in more than one area is strongly preferred
Education
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering)
Physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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)
Marquee Defense is an equal opportunity employer (EEO)
All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.