We're searching fortalented individuals who provide intelligence, statistical analysis and programming expertise for the Government.This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, thencome join us!

Job Description:

Seeking a Data Scientist proficient in manipulating and visualizing midpoint data, with expertise in Python scripting to maintain and update existing scripts. Experience with Abacus/Kibana is preferred, along with knowledge of customer databases and the ability to retrieve data efficiently, while familiarity with Ghostmachine/Linux and a background in systems administration is a plus.

The Level 2 Data Scientist shall possess the following capabilities:

Employ some combination of the following skill areas:

• Foundations: (Mathematical, Computational, Statistical) 2. 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.

Qualifications:

• Bachelor's Degree with 3 years of relevant experience
• Associates degree with 5 years of relevant experience
• Bachelor'sDegree 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 requirement, 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 oflinear 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.

Position requires active Security Clearance with appropriate Polygraph

Headquartered in Columbia, MD, RealmOne provides advanced technology services and solutions focused on cybersecurity, intelligence collection and analysis, data science and advanced analytics, and hyper-automation to support our country's most critical national security initiatives.

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.