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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Asc - E1 - **Company:** Lockheed Martin - **Location:** Aurora, CO, United States - **Salary:** $75,400.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Cloud Computing, Distributed Systems, Machine Learning, Natural Language Processing, Requirements Traceability, Software Engineering, Text Mining, Deep Learning, Numerical Computing - **Published:** September 18, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9177025/data-scientist-asc-e1 ## About the Role Candidate should have operations experience, advanced communication skills, and a strong desire to help the greater team be successful., * Must have a demonstrated ability to cultivate and develop effective customer relationships and work with senior technical management * Ability to learn and troubleshoot complex systems * Basic programming skills using UNIX/LINUX operating system * Active TS/SCI clearance with CI polygraph Desired Skills * Previous experience with a customer base on a program for complex systems, software development, and issue resolution * Experience in conducting technical investigations and providing results to leadership team * Strong organizational and communication skills * Strong analytical and problem-solving skills * Enjoys working in a team environment and collaborating with people in different functions * Ability to work effectively in a fast-paced and rapidly changing environment * Bachelor's degree from an accredited college in a related discipline, or equivalent experience/combined education. ## Description Engage with customers to understand and translate collection priorities into sophisticated technical strategies and assess the strategy's performance. -Develop requirement traceability matrices linking customer needs to specific capabilities and performance parameters -Analyze customer feedback and collection results to refine planning models and improve future mission effectiveness -Collaborate with customers to develop collection plans that maximize value within operational constraints -Maintain documentation of customer requirements, constraints, and preferences to ensure consistency across missions -Analyze historical collection data to identify gaps in coverage and recommend configurations to address shortfalls -Serve as technical liaison between customers and engineering teams to ensure requirements are properly implemented Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. If you are looking to develop your technical skills and contribute to a dynamic, fast-moving, high-performance team while adapting to an ever-changing environment, then this position might be just for you! Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [May I interest you in ... 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