Data Scientist Security Clearance

Data Scientist 2 with Security Clearance

Join to apply for the Data Scientist 2 with Security Clearance role at Realm One

Are you vigilant about your career? Realm One definitely is! Realm One was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top‑notch industry professionals.

Join 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.

• We are seeking a Data Scientist with a background as an intel analyst in addition to experience with Python and Jupyter Notebooks. You will be working with Power
  
  BI to create dashboards and other tools to make sense of large datasets within a capabilities setting.
• The Level 2 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, or another appropriate scientific method to 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 Customer 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.

• Bachelor's Degree with 3 years of relevant experience, associate's degree with 5 years of experience may be considered for individuals with in‑depth experience that is clearly related to the position.
• 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 may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (300 level or higher) 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 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.
• Position requires active Security Clearance with appropriate Polygraph.

Entry level

Full‑time

Engineering and Information Technology

Data Infrastructure and Analytics