Reliability Data Scientist – Full-Stack for Satellite Hardware

SPACE EXPLORATION TECHNOLOGIES CORP; Bastrop (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

SpaceX, Bastrop, TX, is seeking a Full-Stack Data Scientist for Starlink reliability to build data pipelines, models, and production scoring systems that improve hardware reliability. You will work with telemetry, manufacturing, inventory, field-return, and unstructured data to drive replacements and support decisions.

You will design features for reliability models, train and deploy models in production, and build tools and APIs used by hardware, production, quality, and supply chain teams.

Qualifications

• Bachelor’s degree in a STEM field
• 4+ years of data science, ML, or software engineering
• Strong proficiency in Python and SQL
• Experience deploying machine learning models in production

Responsibilities

• Build and maintain data pipelines, infrastructure, and software to improve reliability of Starlink hardware
• Design feature, label, and scoring data for reliability models
• Train, validate, and iterate models for hardware failure prediction
• Deploy and operate models in production with monitoring and versioning
• Contribute to Starlink software repositories and core internal codebases
• Build internal analytics tools, APIs, and applications for multiple teams
• Collaborate across engineering, production, test, inventory, quality, supply chain, and customer experience
• Identify customer needs and execute in a dynamic environment with tight deadlines

Skills

Python

SQL

Data Science

ML in production

Education

Bachelor’s degree in STEM

Master’s degree preferred

Tools

Relational Databases

Data Pipeline Orchestration

APIs

Job description

SpaceX, Bastrop, TX, is seeking a Full-Stack Data Scientist for Starlink reliability to build data pipelines, models, and production scoring systems that improve hardware reliability. You will work with telemetry, manufacturing, inventory, field-return, and unstructured data to drive replacements and support decisions.

You will design features for reliability models, train and deploy models in production, and build tools and APIs used by hardware, production, quality, and supply chain teams.