Research Analyst - Data Science Division
CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches.
We are looking for creative and innovative individuals to help carry out our mission.
Staff at this level will be leading smaller/less complex activities or will be serving as an important contributing team member on projects. Demonstrates analytical competence.
JOB DESCRIPTION AND/OR DUTIES
1. With minimal or no guidance, meets CNA’s quality standards when working on well-structured pieces of a project. Demonstrates ability to develop sound analytic frameworks and associated analytic methodologies/ techniques for addressing both structured and unstructured problems. With direction and supervision, clearly defines, structures, and executes a piece of a complex study to meet quality standards. Demonstrates analytic creativity and curiosity.
2. Develops and maintains broad, general institutional knowledge of primary clients/sponsors; their culture, organization, and issues.
3. Contributes productively and harmoniously to the work of others; treats everyone respectfully, professionally and fairly. Keeps others informed. Proactively identifies and seeks out others working on similar topics. Works to identify opportunities for collaborations within team, division, and operating unit.
4. Supports 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.
5. Interacts with sponsors/clients under the supervision of an experienced colleague, and with study POCs independently.
6. Makes significant contributions to research publications and analytic products for individual projects.
7. Demonstrates ability to communicate results of work in a clear and concise fashion. Effectively communicates one-on-one and in groups. Can document work efficiently and accurately. Can effectively present work to colleagues, sponsors, and small audiences that are familiar with content.
8. Works with minimal or no guidance on focused, well-structured pieces of projects. Works under closer supervision on more complex, less-structured tasks. Can serve as task lead for pieces of projects by managing own activities. May lead small projects under the supervision of an RTL/CMD.
9. Exhibits a positive attitude in interactions with colleagues and clients/sponsors. Provides clear guidance to colleagues on tasks. Takes responsibility for own actions and outcomes.
10. Performs other duties as assigned.
1. Education: Minimum Master’s degree in a relevant field (Data Science related) 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.
NOTE: **Please include a cover letter and transcripts as part of your application to be considered**
CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs. For more information about EEO protections, please view the EEO is the law posters below: "EEO is the Law" Poster; "EEO is the Law" Poster Supplement. The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster
To be considered for hire, all individuals applying for positions with CNA are subject to a background investigation. For positions requiring access to classified information, U.S. citizenship is required. Individuals will also be subject to an additional government background investigation, and continued employment eligibility is contingent upon the ability to obtain and maintain an active security clearance.
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