Data Scientist - Air Systems
Core
Develop machine learning and deep learning models for predictive and prescriptive decision-making in aircraft air systems to ensure safe, balanced designs under conflicting constraints like performance, cost, and environmental requirements.
Role type
Senior IC data scientist (air systems reliability & predictive maintenance)
Builds
Production ML models, analytics dashboards, and business intelligence solutions for aircraft operational reliability
Domain
Aerospace engineering + machine learning
Deliverable
production ML models | dashboards & analysis
Required skills
Machine learning, Deep learning, NLP, Time series analysis, Computer Vision, Physics-based surrogate modeling, Data pipeline design, Statistical analysis, Experiment design, Software engineering best practices
Preferred skills
Experience with Skywise and Palantir tools, Hybrid (physics + data) modeling, Industrial-grade AI solution development
Technologies
Skywise, Palantir
Responsibilities
Translate business needs into statistical/ML problem spaces, Collaborate with IT/Data Analysts to extract and integrate structured/unstructured data, Work with Data Engineers to design scalable data pipelines, Analyze data properties and develop solutions using ML/AI techniques, Design and execute controlled experiments to validate optimal solutions, Create monitoring protocols to ensure models align with evolving business needs
Seniority
Professional, hands-on IC
