Data Science Applications Developer

DCS Corp • Las Vegas, NV, Nevada • 1w ago

Provide Advisory and Assistance Services (A&AS) to the Chief Digital and Artificial Intelligence Officer in support of a Fighter Test Services contract at Nellis AFB, NV. Develop, refine, and integrate artificial intelligence and machine learning (AI/ML) algorithms, Python scripts, and software applications. Develop, manage, and integrate unified data analysis applications to be shared across sites, applications, and with 3rd party organizations. Participate in development of AI/ML use cases in support of data science and analytics processes. Support operational test and evaluation by merging information from multiple sources to increase the quantity and diversity of data available for analysis. Generate supporting documentation detailing methodology, processes, and utilization of data transfer and analytics applications. Essential Job Functions: Data Engineering and Software Development Collaborate with internal and external customers to identify solution and data requirements. Develop data pipeline and storage, refine data flow, and integrate artificial intelligence and machine learning (AI/ML) algorithms, Python scripts, and software applications. Generate supporting documentation detailing methodology, processes, and utilization of data transfer and analytics applications. Establish Data Ecosystem and Application Development Cycle Define initial use-cases with the test team. Develop requirements for tool suite. Create roadmap and development schedule for initial tool suite. Manage daily tasks and execution for roadmap. Explore Available Resources Assess current state of visualization tools developed for CHEETAS (software application). Review toolsets available for exploration of data sets. Leverage APIs to connect with data sources (CHEETAS), enabling efficient data extraction and integration into the development pipeline. Develop Data Warehouse and Pipeline Create tool and data development pipeline on F-35 Knowledge Management. Create documentation for development pipeline and initial capability. Create tools designed to meet initial use-cases. Establish Follow-On Use-Cases Define follow-on use-cases with the test team using end-state of initial use-cases as a starting point (follow-on use-cases may be new, more complex use-cases, iterative improvements of initial use-cases, or both). Iterate/revisit requirements for tool suite. Create roadmap and development schedule for extension of previously developed tool suite. Manage daily tasks and execution for roadmap. Develop Follow-On Exploratory Data Analysis Capabilities Review tool development pipeline on F-35 Knowledge Management (computer network), as required. Create documentation for development pipeline (as required) and follow-on capability. Create tools designed to meet follow-on use-cases. Deliverables for Expected Period of Performance Documentation of development pipeline (as required) and follow-on capability. Integrated Master Schedule. Tool User Guide. Training program and documentation. Provide mentorship and training as applicable. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Bachelor’s degree is required. Well qualified candidates will have 8 or more years’ experience with data science or data exploration and data analysis applications development and integration using coding languages like Python (required), SQL (required), Hadoop (desired) and C++ (Optional). Active Top Secret with SCI eligibility. Fighter aircraft knowledge and test experience is desired but not required.

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