Analysts in the Data Science Division work on projects to help the Department of the Navy and other government agencies develop advanced analytics and algorithms for systems, sensors, networks, and platforms to ensure America’s defense in the 21st century. Analysts will learn CNA's unique approach to analytics that combines an understanding of the technical capabilities with insights gained from up close and current experience with real-world military operations.
Serve as an important contributing team member on projects or lead smaller/less complex activities. Demonstrate analytical competence. 1. Develop sound analytic frameworks and associated analytic methodologies/ techniques for addressing both structured and unstructured problems. Consistently produce high quality analysis. 2. Develop and maintain broad, general institutional knowledge of primary clients/sponsors; their culture, organization, and issues. 3. Support business development efforts and/or marketing activities by maintaining strong client relationships through high quality work, increasing the visibility of our work, and other related activities such as proposal preparation. 4. Interact with sponsors/clients under the supervision of an experienced colleague, and with study POCs independently. 5. Make significant contributions to research publications and analytic products for individual projects. 6. Communicate results of work in a clear and concise fashion. Effectively communicate one-on-one and in groups. Document work efficiently and accurately. Effectively present work to colleagues, sponsors, and small audiences that are familiar with content. 7. Work with minimal or no guidance on focused, well-structured pieces of projects. Work under closer supervision on more complex, less-structured tasks. Serve as task lead for pieces of projects by managing own activities. May lead small projects under the supervision of an RTL/CMD. 8. Exhibit a positive attitude in interactions with colleagues and clients/sponsors. Provide clear guidance to colleagues on tasks. Take responsibility for own actions and outcomes. 9. Perform other duties as assigned.
1. Education: Minimum Master’s degree in a relevant field (Data Science related field) or equivalent experience, PhD preferred. 2. Experience: Typical minimum requirements Ph.D. & 0+ years or Master’s & 2+ years of experience in research and analysis. 3. Skills: Ability to construct effective briefings using MS PowerPoint and intermediate skills with MS Word and Excel and other standard software packages. Ability to apply machine learning techniques, building models (statistical, mathematical, simulation, etc.) in programming languages such as R or Python. Ability to analyze complex datasets using effective visualizations of data in achieved results; skilled in programming, statistics, machine learning, and data visualization. Working knowledge of data and information management analysis techniques and best practices. 4. Other: Ability to obtain and maintain an Active Secret Security Clearance.