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Data Science Team - Data Analyst I

CNA, 3003 Washington Blvd, Arlington, Virginia, United States of America Req #15
Thursday, March 19, 2020
The Data Science Team works on projects to help the Department of the Navy and other government agencies to develop advanced analytics and algorithms for systems, sensors, networks, and platforms to ensure America's defense in the 21st century. DST researchers have relevant experience (either in course work, previous job experience, or military experience) in programming, machine learning, model building, and data visualization.


Data Analysts I in the Data Science Program work on projects to develop advanced analytics and algorithms for the Department of the Navy and other government agencies to ensure America's defense in the 21st century. Data Analyst I learn CNA's unique approach to analytics that combines an understanding of the technical capabilities with insights acquired from up close and current experience with real-world military operations. 1. Leverage R and/or Python to develop machine learning models for, e.g., regression, classification, natural language processing, and/or image recognition. 2. Develop an understanding of Navy and Marine Corps operations, maintenance, supply, training, and personnel datasets. 3. Extract, transform, load (ETL) data from various data sources in order to initiate analysis. 4. Conduct data preparation including cleaning, wrangling, joining, and converting data in order to provide a useable analytic dataset. 5. Conduct Exploratory Data Analysis (EDA) to include the use of data visualizations (e.g. Dash, MATPLOTLIB, R Shiny, ggplot2, Power BI, etc.), correlations, empirical/theoretical distributions of data, and summary statistics. 6. Apply statistical methods including descriptive and inferential techniques using parametric and nonparametric statistics. 7. Communicate analysis and results clearly, concisely and precisely. 8. Support projects by analyzing complex datasets and using effective visualizations of data in their results. 9. Serve as an effective team member by fulfilling assignments in a timely and efficient manner. Works cooperatively and accepts guidance and direction from others. Exhibits a positive attitude, and takes responsibility for own actions and outcomes. 10. Interact with functional peers within the organization, as well as sponsors / clients/ vendors; sometimes with guidance from others. Interaction normally involves exchange or presentation of factual, but somewhat varied and complex information.


1. Education: Bachelor’s degree in Data Science, Programming, Statistic or related field or equivalent experience required. 2. Experience: Relevant experience demonstrated from course work and/or relevant work history including internships. 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 Security Clearance.

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, 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 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. 

Other details

  • Job Family Technical
  • Job Function Career Path I - Research
  • CNA, 3003 Washington Blvd, Arlington, Virginia, United States of America