Data Scientist , Leo Customer Terminal
Core
Develop predictive models and analytics to proactively identify user terminal failures and enable design decisions for LEO satellite connectivity devices.
Role type
Senior IC data scientist (satellite terminal analytics)
Builds
Predictive models for terminal failure identification and performance analysis tools for LEO customer terminals
Domain
Aerospace / Satellite Communications / Hardware Reliability
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, statistical modeling, machine learning, trade studies, root-cause analysis, dataset management for LLMs
Preferred skills
Ph.D. in STEM, GenAI benchmarking, cross-disciplinary project leadership, quantitative business analysis
Technologies
Python, SQL, R, SAS, Matlab
Responsibilities
Develop statistical tools for regression decisions from on-orbit and lab measurements; Create and manage datasets for pre-training and fine-tuning LLMs; Develop scalable visualizations for terminal performance analysis; Collaborate with RF, antenna, and silicon engineers to root-cause failures using data; Drive consensus on metrics to support product strategy
Seniority
Senior, hands-on IC
