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Black Eagle Defense · 1 month ago

Data Scientist II

Fort Meade, MD

Full-time

Onsite

Mid Level

$65K/yr - $125K/yr

3+ years exp

Black Eagle Defense is a Maryland-based small business that provides Information Technology, Cybersecurity, and related Consulting Services to the private and public sectors. The Data Scientist II role involves devising strategies for extracting value from large datasets and effectively communicating complex conclusions to non-technical audiences.

Cloud ManagementConsultingCyber SecurityData ManagementInformation Technology

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Translate practical mission needs and analytic questions related to large datasets into technical requirements

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

Qualification

Machine LearningStatistical AnalysisData ManagementProgramming (Python)Data MiningData ModelingArtificial IntelligenceAnalytical SkillsCommunication Skills

Required

A Bachelor's Degree with 3 years of relevant experience, Associates degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position is required

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

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