Data Science Team - Data Analyst I
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.
- Job Family Technical
- Job Function Career Path I - Research
- CNA, 3003 Washington Blvd, Arlington, Virginia, United States of America