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Senior

Sr. Data Scientist, Hardware Reliability (Starlink Product)

Confirmed live in the last 24 hours

SpaceX

SpaceX

Bastrop, TX
Remote
Posted February 12, 2026

Job Description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SR. DATA SCIENTIST, HARDWARE RELIABILITY (STARLINK PRODUCT) 

SpaceX is leveraging our experience building rockets and spacecraft to deploy Starlink, the world’s largest satellite constellation and most advanced broadband internet system. We provide reliable and fast internet to millions of users worldwide, including populations with little or no connectivity, rural communities, aircraft, watercraft, and places where existing services are unreliable, too expensive, or disconnected by natural disasters. We design, build, test, and operate all parts of the system, thousands of satellites and consumer antennae that allow users to connect within minutes of unboxing. The Starlink team is seeking out the best-in-class professionals to maximize Starlink’s potential for communities and businesses around the globe. 

As a Sr. Data Engineer, you will be responsible for the analysis of the performance and reliability of customer hardware (dish, router, power supply, and cables) once they leave the factory doors. You will develop the strategy, key metrics, tools, models, software services, and processes to minimize hardware reliability issues as we launch new products and continuously expand the use cases for Starlink.

RESPONSIBILITIES: 

  • Build and maintain critical data science infrastructure, tools, processes, and custom software to objectively assess the performance and reliability of Starlink customer hardware 
  • Lead technical data-driven investigations with tight timelines by diving into isolated or fleet-wide performance or reliability issues affecting our customers and present findings to executives 
  • Apply data science and statistical inference techniques to analyze data and build models that help improve customer experience and drive business growth 
  • Build software systems that ingest, transform, store, and combine data from multiple sources 
  • Create custom datasets, analyses, and analytics tools that will be used by internal teams and stakeholders to monitor, analyze, and impact business outcomes 
  • Consistently contribute effort, leadership, and creative thinking to solving complex problems in a collaborative fashion under tight deadlines 
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