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Data Scientist Security Clearance

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: RealmOne
Full Time position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Job Description & How to Apply Below
Position: Data Scientist 3 with Security Clearance

Data Scientist 3 with Security Clearance

Join to apply for the Data Scientist 3 with Security Clearance role at Realm One
.

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. Your effort and expertise are crucial to the success and execution of this impactful mission.

Job Description
  • Perform tasks associated with Big Data Platform management, programming, and development of prototype algorithms and algorithm refinements, supporting data visualization and analytics.
  • Design and implement 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, 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 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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Data Infrastructure and Analytics
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