Fleet Scheduler Data Scientist

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

Position Overview

We are seeking a Fleet Scheduler Data Scientist to define, build, and operationalize algorithms that optimize and control this network. This role will lead the design and deployment of AI and ML powered large-scale combinatorial optimization algorithms that drive predictive planning and reactive real-time control loops.

This role requires a deep understanding of state-of-the-art techniques in combinatorial optimization of heterogeneous graphs for system scheduling, and must develop an understanding of a host of underlying systems and subsystems to efficiently incorporate their features into both predictive and reactive action planning loops.

This person will work in coordination with software engineers to implement the algorithms and models that are developed, and will also work closely with aerospace, network, and operations engineering teams to translate physics- and constraint-driven system behavior into scalable prediction, optimization, and control architectures.