The DarkStar Group, LLC · 14 hours ago
Data Scientist 2
Honolulu, HI
Full-time
Onsite
Mid Level
3+ years expThe DarkStar Group is actively searching for Data Scientists to support their team. The role involves managing Big Data Platforms, developing algorithms, and supporting data visualization and analytics.
Cloud ComputingCyber SecurityBig DataSoftwareAnalytics
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics
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
Through analytic modeling, statistical analysis, programming, 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 in 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. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations
Qualification
Required
Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience
Bachelor's Degree must be in 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), a degree in the 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). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred
Active TS/SCI w/poly
Preferred
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
Through analytic modeling, statistical analysis, programming, 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 in 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. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations
Company
The DarkStar Group, LLC
The DarkStar Group’s mission is to make a positive impact on National Security by supplying top Computer Scientists and Engineers on the most critical programs in the Intelligence Community and the Department of Defense.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase