Senior Data Scientist — SAT-RAN Telemetry & Optimization

AST SpaceMobile; Lanham (MD); On-site; USD 140,000 - 200,000; Full time

Job summary

AST SpaceMobile seeks a Senior Data Scientist for Payload & SAT-RAN to define and build telemetry-driven models across payload, gateway and RAN subsystems, delivering actionable insights and production-grade analytics.

You will partner with engineering and operations to deploy models, monitor data quality, and enable data-driven decisions for in-orbit and ground operations. Expertise in time-series, anomaly detection, and ML model governance is essential.

Qualifications

• 5+ years of production data science/ML experience.
• Strong proficiency in Python and SQL.
• Experience defining and operating data models and analytics pipelines.
• Solid statistical foundations and time-series forecasting skills.
• Ability to translate cross-domain problems into measurable metrics.

Responsibilities

• Own Payload/GW/SAT-RAN data strategy and metrics.
• Design and maintain SAT-RAN data models and telemetry schemas.
• Lead production deployment of data models, with validation and data quality monitoring.
• Develop end-to-end performance analytics across subsystems.
• Build anomaly detection and failure prevention systems.
• Create quality scoring models and decision-support data products.
• Collaborate with engineering/ops to deploy models into workflows and backtesting.

Skills

Python programming

SQL

Time-series analytics

Data modeling

ML/AI concepts

Education

Bachelor's or Master's in CS/EE/Math/Physics

Tools

Pandas

NumPy

scikit-learn

Time-series tooling

Job description

AST SpaceMobile seeks a Senior Data Scientist for Payload & SAT-RAN to define and build telemetry-driven models across payload, gateway and RAN subsystems, delivering actionable insights and production-grade analytics.

You will partner with engineering and operations to deploy models, monitor data quality, and enable data-driven decisions for in-orbit and ground operations. Expertise in time-series, anomaly detection, and ML model governance is essential.