What are the responsibilities and job description for the Data Scientist/Knowledge Management Engineer position at dynamisinc?
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.
Responsibilities:
- 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.
Requirements:
- U.S. Citizenship required
- 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.
Preferred:
- 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.