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About
The Predictive Analytics and Cost Engineering (PACE) team is a data science team that combines technical engineering attributes and financial information to create data-driven cost estimates for program capture and support. The PACE team collects, normalizes and maps data to a standard work breakdown structure (WBS) to perform data analytics for internal and external customer support and deliverables. As part of the Finance and Business Operations (F&BO) organization, this team also works closely with Engineering and Technology (E&T), Strategy and Business Development (S&BD), Program/Proposal Management and Leads, Executive leadership and external customers. In particular, this position would be in support of significant programs/capture efforts across the lines of business (LOB). This may also involve proposal and/or data analytics and cost estimating tool development or enhancements. The role may include working on affordability analysis, life cycle cost developments, cost data analytics, forecasting cost and schedule, data collection and normalization, and design to cost. The candidate selected will be asked to analyze multiple data sets to build engineering models, synthesize results, perform decision analysis, and communicate findings with engineering colleagues and internal decision makers. Responsibilities in this position will include: Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around cost estimates. Be comfortable leading development of AI/ML tools collaborating with the above organizations. Present briefings to colleagues, senior staff, and executives. Develop data-driven cost estimates for proposal efforts that are parametrically derived. Normalize cost and technical data. Become knowledgeable and responsible to answer questions around cost estimates and cost drivers. Desired skills include: Clearance at TS/SCI or DoD TS desired Master's degree in Math, Operations Research, Engineering, Finance, or related field or equivalent years of experience Experience with Python, Visual Basic for Applications (VBA), MS SQL, and/or Tableau Experience working with cost models, predictive analytics, or decision analysis Knowledge of financial systems, analysis, statistics, etc. Experience working within the space systems industry Knowledge of data management systems and/or data science Ability to communicate technically oriented material to broader team Familiarity with proposal development and/or the government acquisition process Strong team collaboration and leadership skills 5+ years of related experience
Languages
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