Data Analyst I - Data Science Division
The Data Science Division (DSD) is part of the Center for Naval Analyses. The mission of the DSD is to develop innovative, cutting-edge analytics that are relevant, impactful, and actionable.
The DSD provides data science expertise and support to the Department of the Navy and Department of Defense. The division collaborates with our sponsors to transform their operations by making data and analytics an integral part of their decision-making. As part of the Navy’s only dedicated FFRDC, we use our analytic skills and our knowledge of naval operations to help create a competitive advantage for the Navy. That advantage has never been more critical than it is today, with great power competition challenging the Navy in several concurrent theaters and across all warfighting domains.
The division has full time and part time analysts with advanced degrees in data science, operations research, statistics, economics, computer science, physics, mathematics, engineering, chemistry, and other technical disciplines. The Data Science Division has a large set of core technical competencies, including:
- Developing supervised and unsupervised machine learning models, such as artificial neural networks, random forests, and clustering, to predict outcomes and assist decision-makers
- Leveraging high performance computing to obtain insights from big data
- Developing custom analytical simulations using techniques such as continuous time, discrete event, and Monte Carlo approaches to approximate existing systems to quantify the effects of changes to improve those systems
- Building and deploying dashboards and dynamic decision support tools in the Navy’s cloud environments
- Identifying optimal solutions using mathematical programming techniques such as mixed integer programming, network analysis, and linear/non-linear programming.
- Leading and facilitating human centered design workshops to ensure data-driven solutions meet stakeholder requirements and preferences
The DSD develops models and analytics to support Navy problems across all Navy domains, including aviation, surface warfare, undersea warfare, cyber, logistics, readiness, force generation, sustainment, acquisition, and cost modeling. DSD analysts support decision-makers by identifying key drivers of both successful and poor performance to improve Navy and Marine Corps outcomes. The division currently supports the Navy’s Performance-to-Plan forum, which provides senior Navy leadership forward‑looking performance forecasts, which are foundational to articulating Navy progress toward readiness and capability goals. Projects generally involve large datasets and complex questions that demand advanced coding skills as well as statistical and modelling techniques. The division leverages agile project management techniques to support faster cycle times to insights and to develop analytic minimum viable products.
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.
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's 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.
11. Perform other duties as assigned.
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.
1. Cover Letter - Please include a cover letter as part of your application to be considered for this position. A cover letter should introduce yourself, briefly summarize your professional background, explain why you are a good candidate and the reason for your personal interest in applying for this job.
2. Transcripts - Please include your transcripts as part of your application to be considered
***Voluntary (but highly desired) document***
Please include a personal statement as part of your application. A personal statement is a chance for us to get to know you. The statement is your opportunity to share your goals, interests, influences and show us that you will be a valuable asset to our organization. Please click here for personal statement guidelines – Click here
Personal statements will not be used as an elimination criteria for this position. They will only be used to enhance a candidate’s application.
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.
- Job Family Technical
- Job Function Career Path I - Research
- Employment Indicator (none)
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