Hello POLMETH community,
The Center for Naval Analyses (CNA) is growing its Data Science Division and is looking for candidates with strong quantitative backgrounds. 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 research and development corporation, we use our analytic skills to help create a competitive advantage for the Navy. The division has full time and part time analysts with advanced degrees in data science, operations research, political science, 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
Posting: https://us60.dayforcehcm.com/CandidatePortal/en-US/CNA/Posting/View/1031
Please reach out if you have any questions,
Best
Vincent
Vincent Bauer, PhD
Research Analyst
Center for Naval Analyses
Data Science Division
Predictive Analytics Program
Office: 703-824-2722
Mobile: 708-743-1674
NIPR: [log in to unmask]<mailto:[log in to unmask]>
SIPR: [log in to unmask]<mailto:[log in to unmask]>
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