Data Scientist​/Knowledge Management Engineer

The Data Scientist/Knowledge Management Engineer for the DeCPTR-Nuclear project will play a pivotal role in transforming nuclear radiation test data into actionable insights and standards. This position involves developing and implementing a comprehensive knowledge management system to collect, organize, and analyze data from nuclear radiation tests. The Data Scientist/Knowledge Management Engineer will ensure data integrity, facilitate data-driven decision-making, and support the development of innovative standards for nuclear radiation protection.

• Data Collection and Management:
  Develop and maintain a secure, centralized repository for nuclear radiation test data, ensuring data is systematically collected, organized, and readily accessible.
• Data Analysis:
  Utilize advanced data analysis techniques to identify trends, patterns, and insights from test data, informing the development of high-fidelity test metrics and standards.
• Knowledge Integration:
  Integrate data at appropriate classification levels, safeguarding sensitive information while promoting knowledge dissemination across stakeholders.
• Quality Assurance:
  Conduct integrity checks and validation processes to ensure data accuracy, reliability, and compliance with ISO 9001 quality management standards.
• Documentation and Reporting:
  Prepare comprehensive reports documenting data collection, analysis processes, and recommendations for future research and testing initiatives.

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field;
  Master’s degree preferred.
• Minimum of 5 years of experience in data science or knowledge management, preferably within the defense or aerospace sectors.
• Active clearance or ability to obtain one is required.

• Technical:
  Proficiency in data management and analysis tools, such as SQL, Python, R, and data visualization software.
• Project Management:
  Experience with project management methodologies and tools, including Agile or Lean practices.
• Communication:
  Strong written and verbal communication skills, with the ability to convey complex data insights to diverse audiences.
• Collaboration:
  
  Ability to work collaboratively with cross-functional teams, fostering cooperation and innovation.
• Problem-Solving:
  Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex challenges.
• Compliance:
  Familiarity with ISO 9001 quality management standards and DoD regulatory requirements.

Dynamis, Inc. is an Equal Opportunity Employer. We do not discriminate on the basis of protected status. All qualified applicants will receive consideration for employment.