Data Scientist, Asc Manager - Fleet Analytics

Lockheed Martin•Trumbull, CT

1d•Hybrid

About The Position

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. As a key member of our team, you will 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. You will collaborate with commercial and military aircraft sustainment teams to accelerate business decisions, investigate fleet degraders for root cause and recommend product and process improvements. You will analyze and interpret data leading to development and implementation of predictive models / forecasting and decision optimization tools. You will solicit and understand new use cases, design and estimate optimal solutions, and deliver scalable products. You will capture ROI of new tools & analyses. You will identify talent needs, recruit, coach, maintain talent pipeline, and allocate team members and resources to meet project demands.

Requirements

U.S. Citizenship, able to work on-site in Trumbull CT at least 3 days/wk.
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, GitLab 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.

Nice To Haves

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

Responsibilities

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.