Data Engineer (Starlink Growth)

DATA ENGINEER (STARLINK GROWTH)

At SpaceX, we are 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 10M+ 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 rapidly accelerate our growth around the globe.

As a Data Engineer in the Starlink Growth Analytics & Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications.

RESPONSIBILITIES:

• Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience.
• Transform insights into action items for business and engineering teams, based on statistically-driven evidence.
• Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise.
• Work closely with software and production teams to optimize user experience.
• Develop and validate models to forecast customer acquisition.

BASIC QUALIFICATIONS:

• Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline.
• 1+ years of professional experience building solutions with Python and SQL.
• 1+ years of professional experience with statistical modeling and machine learning algorithms.

PREFERRED SKILLS AND EXPERIENCE:

• 1+ years of professional experience in analytics, data science, or machine learning.
• Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models) .
• Experience with data visualization skills, including experience in geospatial data representations.
• Excellent verbal and written communication skills.
• Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling.
• Demonstrated capability to parse technical subjects on a deep level.
• Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes.
• Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines.
• Experience designing and utilizing relational database (SQL).
• Background in statistics or computational physics.

ADDITIONAL REQUIREMENTS:

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