Data Scientist​/Cost Engineer; TS clearance required

Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more— we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve.

We’re creating future‑ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that’s built for you.

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 will support 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.

• Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around cost estimates.
• Support development of AI/ML tools in collaboration 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 be responsible for answering questions around cost estimates and cost drivers.

• Bachelor’s or higher level degree in Math, Operations Research, Engineering, Finance, or related field, or equivalent years of experience in lieu of degree.
• Currently active TS Clearance.
• Strong communication and interpersonal skills.
• Critical thinking and problem‑solving abilities.
• Detail‑oriented with ability to multitask, prioritize, and balance multiple tasks at once.
• Comfortable navigating technical or cost data with the intent of understanding the relationship between them when working a task and/or presenting results.
• High degree of accountability and responsibility with the ability to be a self‑starter.
• Experience with and understanding of one or more of the following: cost model development or data collection and normalization or data science or data analytics or systems engineering/architecture or spacecraft engineering fields or finance or other related areas.

• Master’s degree in Math, Operations Research, Engineering, Finance, or related field.
• Experience with Python, Visual Basic for Applications (VBA), and/or MS SQL.
• Experience with Power BI 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 a broader team.
• Familiarity with proposal…