DATA SCIENTIST (STARLINK)

At SpaceX, we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to help maximize Starlink's utility for communities and businesses around the globe. As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is itself, in serving millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization as well as key contacts with various major external partners to help ensure the growth of this program.

RESPONSIBILITIES:

• Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
• Automate the aggregation of metrics and detection of widespread application issues across Starlink
• Establish and maintain relationships with key third-party application/content owners
• Lead technical investigations about chronic application-level issues
• Build ground-based software systems that ingest, transform, and store data
• Apply data analytics, models, and techniques to data products created by space vehicles
• Create catalogs of data and tools that can be used by you and other teams to perform analytics
• Fuse data from multiple sources to create usable information

BASIC QUALIFICATIONS:

• Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Experience in analytics, data science, or machine learning

PREFERRED SKILLS AND EXPERIENCE:

• Professional experience in analytics, data science, or machine learning
• Experience using Spark, Presto, Flink, or Snowflake
• Experience building solutions with Parquet, or similar storage formats
• Knowledge of Kubernetes
• Experience building solutions with in-stream data processing of structured and semi-structured data
• Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection)
• Experience in custom ETL design, implementation, and maintenance
• Experience handling large (TB+) datasets
• Experience with developing and deploying tools used for data analysis
• Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
• Ability to take on projects that require taking initiative and developing new expertise

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours and weekends as needed

COMPENSATION AND BENEFITS: