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Temporary/Casual
Technology
Data Scientist 3 with Security Clearance
RealmOneSan Antonio, TX🇺🇸United StatesPosted 1 Aug 2026
Quick Overview
Work Type
Hybrid
Schedule
Temporary/Casual
Level
Mid Senior
Job Description
Are you VIGILANT about your career? RealmOne definitely is! RealmOne 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. Job Description: Seeking Data Scientist that 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. The Data Scientist Level 3 shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Qualifications: * Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience may be considered for individuals with in-depth experience that is clearly related to the position. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. Position requires active Security Clearance with appropriate Polygraph
Skills
Machine Learning
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