Sr. Full-Stack Data Scientist; Starlink Product

Sr. Full-Stack Data Scientist (Starlink Product)

Bastrop, TX

Space

X 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 Space

X is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

Space

X 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. Full-Stack Data Scientist, 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.

• 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
• Build relationships and collaborate across disciplines including engineering, production, test, inventory, quality, supply chain, and customer experience to drive positive business outcomes

• Bachelor’s degree in computer science, data science, mathematics, or other STEM discipline
• 3+ years of professional experience in data or software engineering, with strong proficiency in Python, SQL, Bash scripting, and familiarity with at least one additional programming language (e.g., R, Java, Scala, C++)
• 2+ years of professional experience in data science and machine learning fundamentals (regression, classification, clustering, anomaly detection, natural language processing)

• Master’s degree in computer science, data science, mathematics, or other STEM discipline
• 6+ years of professional experience in data or software engineering, with strong proficiency in Python, SQL, Bash scripting, and familiarity with at least one additional programming language (e.g., R, Java, Scala, C++)
• 5+ years of professional experience in data science and machine learning fundamentals (regression, classification, clustering, anomaly detection, natural language processing)
• Experience building production-level predictive models, machine learning solutions, and analytics pipelines
• Strong software engineering skills; ability to write clean, efficient, and robust code with a foundation in software development best‑practices; ability to contribute to internal code repositories and production services
• Deep expertise cleaning, aggregating, analyzing and automating large, industry-complex datasets
• Strong in data engineering fundamentals – relational databases, data pipeline development and…