Data Scientist, Asc Manager - Fleet Analytics
Listed on 2026-06-18
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Data Analyst, Machine Learning/ ML Engineer
Description:
WHAT WE’RE DOING
At Lockheed Martin - Data Analytics Innovations (DAI), we're advancing the future of defense through cutting-edge data science and artificial intelligence. Our mission is to develop and deploy advanced analytic tools that utilize Artificial Intelligence/Machine Learning (AI/ML) to enable proactive decision-making and enhance mission readiness across all Lockheed Martin Business Areas—improving platform availability, reducing operational costs, optimizing supply chains, and more.
THEWORK
- Lead a multidisciplinary team to design, develop and deliver advanced analytics that enable the proactive identification and mitigation of cost, readiness and risk issues facing fleets of aircraft.
- Collaborate with commercial and military aircraft sustainment teams to accelerate business decisions, investigate fleet degraders for root cause and recommend product and process improvements.
- Analyze and interpret data leading to development and implementation of predictive models / forecasting and decision optimization tools.
- Solicit and understand new use cases, design and estimate optimal solutions, and deliver scalable products. Capture ROI of new tools & analyses.
- Identify talent needs, recruit, coach, maintain talent pipeline, and allocate team members and resources to meet project demands.
We are a multidisciplinary team of data scientists, software engineers, fleet sustainment professionals and AI/ML specialists focused on solving complex problems that have a tangible impact on our customers. We work in a fast-pace, collaborative environment, united by a passion for technology, innovation, and excellence. At Lockheed Martin, you'll have access to top-tier resources, technical mentorship, and the opportunity to contribute to meaningful work that supports global missions.
WHOYOU ARE
A visionary team-leader and critical thinker. You're a motivated, curious, and collaborative problem solver who is ready to tackle real-world challenges with your data science and aircraft sustainment knowledge. You bring leadership, technical skill, and a drive to continuously learn and grow.
Basic Qualifications- U.S. Citizenship, able to work on-site in Trumbull CT at least 3 days/wk.
- Earned a Bachelor's degree in Data Science, Mechanical/Aerospace/Systems Engineering, Math/Stats, Physics or a related field and 5+ years of professional experience related to analytics and/or engineering of aircraft or other complex systems.
- 3+ years of experience in technical leadership with a focus on systems engineering, analytic product development, or a related field.
- Experience with scripting languages, data manipulation, agile software development and analytic tools. Examples include Python, SQL, Excel, Git Lab and Tableau.
- Familiarity with machine-learning and predictive-modeling methodologies.
- Ability to plan and execute projects, utilizing Project Management techniques to maintain control over cost, schedule and performance, as well as to manage your team’s tasks.
- Master’s degree in Data Science, Mechanical/Aerospace/Systems Engineering, Math, Physics or a related field.
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders, with a strong focus on collaboration and teamwork. Ability to analyze complex problems, develop creative solutions, and leverage data visualizations to convey impactful messages.
- Experience managing technical teams designing and deploying AI/ML powered solutions for data products and statistical analysis.
- Experience in aircraft design, maintenance, operations and/or sustainment (including supply chain and logistics domains).
- Must have a pioneering mindset, able to tackle new challenges and engage new stakeholders proactively without specific direction or complete definition.
- Familiarity with model interpretability, explain-ability, and transparency.
None
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
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