Associate Research Analyst (Associate Data Scientist)

Cna - Arlington, VA

Part-time,Full-time - Entry Level

Remote - Arlington, VA

Professional, Scientific, and Technical Services

About the position

CNA is seeking an Associate Research Analyst (Associate Data Scientist) to join its Data Science Division. This role involves providing research, analytical, and technical support on various projects, primarily for the Department of the Navy and Department of Defense. The position requires collaboration with colleagues to develop models and analytics that address Navy-related challenges across multiple domains. The ideal candidate will contribute to a culture of inclusivity and creativity, supporting effective solutions through data-driven approaches.

Responsibilities

• Conduct research and analysis on focused, structured questions under close supervision.
• Develop rudimentary institutional knowledge of primary clients and their issues.
• Contribute productively to team efforts and engage with colleagues for collaboration.
• Support business development and marketing activities through background research.
• Interact with sponsors and clients under supervision.
• Demonstrate effective communication skills in presenting work to colleagues and managers.
• Work on well-structured pieces of projects under close supervision.
• Exhibit a positive attitude and support project leadership as needed.
• Perform other duties as assigned.

Requirements

• Minimum master's degree in data science, statistics, computer science, or a relevant field.
• 0+ years of experience in research and analysis, typically requiring a Master's degree.
• Proficiency in Microsoft Office applications (Excel, Word, Access, PowerPoint).
• Ability to manage databases and organize information effectively.
• Strong critical thinking and organizational skills.
• Basic knowledge of research techniques and effective communication skills.
• Ability to obtain and maintain an Active Secret Security Clearance.

Nice-to-haves

• Experience with data analysis tools and programming languages (e.g., Python, R).
• Familiarity with statistical modeling and data visualization techniques.

Benefits

• Flexible work environment with telecommuting or hybrid work options.
• Opportunities for professional development and training.