What’s SpaceX like in terms of their business, the role, and the work culture?

Well, as a Data Engineer on the Starlink Growth team, you’ll be diving into data to help assess the health of the Starlink business. You’ll build dashboards, develop models to forecast customer acquisition, and turn data insights into actionable items for both business and engineering teams. It’s all about making customer acquisition more efficient and leveraging the latest in machine learning and statistics.

You’ll need a Bachelor’s degree in a STEM field like computer science, physics, or mathematics. Plus, having at least a year of experience with Python and SQL, along with some background in statistical modeling and machine learning, is essential.

Absolutely! If you have experience in analytics or data science, especially with predictive models and machine learning pipelines, that’s a big plus. Also, skills in data visualization and the ability to communicate complex ideas clearly can really set you apart.

You’ll be using Python and SQL primarily, but also working with various statistical modeling and machine learning technologies. Plus, you’ll likely get your hands on tools for data analysis and visualization, which can include geospatial data representations.

It’s pretty dynamic! You’ll be collaborating closely with both technical and business teams, so expect a fast-paced environment where you can really make an impact. They’re looking for self-starters who can tackle complex problems and drive positive outcomes, so there’s a lot of room for innovation!