Space Jobs for Data Scientists

Going by the 90 distinct salaries currently posted for roles for data scientists and machine learning engineers (each put on a full-time year), the typical range is $133k–$251k/yr and the median is $160k/yr. The top posted figure is $350k/yr, at SpaceX. 85 of the 176 open roles for data scientists and machine learning engineers state no pay, so check each listing.

Usually a degree in a quantitative field and experience with the tools the role names; imagery and remote sensing roles often ask for a graduate degree in the field. Every posting spells out its exact requirements and work site, so read each one. Of the 76 open roles for data scientists and machine learning engineers whose requirements we read, 3 ask for a PhD, 2 a master's, 52 at least a bachelor's and 19 name no degree.

A data scientist at a space company works on the data a space business produces: Earth observation imagery and radar, spacecraft telemetry, test and production data, building the models, pipelines and analysis that turn it into products and decisions.

Each employer runs its own hiring, and each listing says what it asks for: the degree or the hands-on experience, the location, and for export-controlled work in the US, often U.S. person status.

Every role here is read from a space employer's own careers page or job board (Muon Space, Hubble Network, Inversion Space and K2 Space among them), and each employer's page here covers who they are and how they hire. A real employer never charges you to apply, never asks you to buy equipment and never interviews you only by chat app.