Job BriefSCADA, Python, AI/ML
Job DescriptionJoin us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity.
Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.
Job Description:- We are seeking a Data Scientist who has demonstrated experience analyzing industrial control systems, including supervisory control and data acquisition (SCADA) environments, and should ideally bring prior targeting-development knowledge. The position focuses on developing, testing, and refining AI/ML data models while applying computational mathematics, qualitative and quantitative analytic techniques, and clear, actionable data visualizations. Success requires strong proficiency in Python and comfort working with AMOD tools to support advanced analytical workflows. This role is designed for someone who can integrate technical rigor with mission-driven analytical insight to enhance complex system understanding and drive intelligent automation.
The Level 3 Data Scientist shall possess the following capabilities:- 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).
- Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
- Ability to use 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 feature and limitations inherent in Government 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.
Qualifications:- Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
- 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.
- 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 on 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.
Position requires active Security Clearance with appropriate PolygraphPay Range: 161,000-211,000
The RealmOne pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role's responsibilities, the candidate's educational background, their work experience, and the specific competencies crucial for success in the role.
RealmOne Benefits:- Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family with buy-up option available.
- Retirement + Savings: 401K - 10% TOTAL CONTRIBUTION - 5% safe harbor - 5% annual profit share. Immediate vested, no match required!
- Paid Time Off + More: 4 weeks starting PTO - 11 federal holidays + 2 floating holidays - Paid hours for company-required training.
- Career Growth + Development: Access to FREE 24/7 learning via Udemy - Opportunities to participate in tech councils, industry initiatives, etc. - $7,500 annual Educational & Professional Development Assistance.
- MORE BENEFITS...FOR EVERY LIFESTYLE! - Paid parental leave - Adoption assistance - Annual swag drops - Flexible work schedules - -Generous referral bonus program - Employee appreciation + family-friendly corporate events ...and much more.
Disclaimer: Benefits packages offered by RealmOne are subject to variation and may differ based on work location, clearance level, and other eligibility criteria. Specific eligibility, availability, and scope of benefits are not guaranteed, may differ from those generally described, and remain subject to modification at the sole discretion of the company.
