SpaceX is a private aerospace company founded in 2002 by Elon Musk. SpaceX's objective is to reduce the cost of space travel for passengers and cargo. They've developed reusable rockets that can land themselves after launching a payload into orbit, as well as more efficient ways to launch their rockets from Earth. SpaceX has been working on reusability for over a decade. Since then, they've started working on the Falcon 1 rocket, which would eventually become reusable. They require data scientists that can use machine learning and other algorithms to construct models to do all of these things.
Data science is a rapidly expanding field in business and industry. It's what enables businesses to make data-driven decisions, recommendations, and predictions. Want to land a job as a data scientist at SpaceX? Look out for the responsibilities and salaries.
SpaceX employees are part of teams in the areas of avionics, materials engineering, mission management and space operations, satellite development, test operations, and vehicle engineering, among others. According to data from Glassdoor, SpaceX employees aren't compensated as high as those working for tech giants like Facebook or Google.
SpaceX provides two ways to work with their company, and there are several positions for which one can apply according to their skill-sets.
For both jobs, candidates can apply online through the link https://www.spacex.com/careers. By this link, one can check and apply for the current opening and opportunities in SpaceX. Once you apply for SpaceX and if your resume got selected, they will start your recruitment process. Once you apply for SpaceX, you might have to wait for a long time of 2-5 months approx.
The average SpaceX Data Scientist earns US$191,000 annually, which includes a base salary of US$91,000 with a US$100,000 bonus. This total compensation is US$61,786 more than the US average for a Data Scientist. The Engineering Department at SpaceX earns US$50 more on average than the Legal Department.
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