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Data, imagery and machine learning

Space Jobs for Data Scientists

, SpaceJobs.Now lists 176 open roles for data scientists and machine learning engineers on , including Muon Space, Hubble Network and Inversion Space; typical pay across them is $133k to $251k a year (median $160k), topped by $350k a year advertised at SpaceX.

See 176 roles for data scientists and machine learning engineers
$133k–$251k/yrtypical paylive median $160k/yrup to $350k/yr at SpaceX

Measured from 90 distinct posted rates, across 16 employers, each as a year's pay (an hourly rate × 2,080 hours). 85 of the 176 listings open here post no pay at all.

Space companies hire data scientists and machine learning engineers to turn imagery, telemetry and production data into products and decisions. Each listing here is re-verified on the employer's own job board once an hour.

Live roles for data scientists and machine learning engineers

Updated 29 Oct 2026, 23:01 UTC

Data engineering

14 open

The pipelines and platforms that move telemetry, imagery and business data.

See all 14 data engineering roles

Data science and analytics

32 open

Analysis of test, production, operations and business data.

See all 32 data roles

Before you apply

Space hardware is built, tested and flown in person, so many roles name a factory, a test site, a launch site or a control room, and each listing states its location. US roles that touch export-controlled technology (ITAR or EAR) can ask that you be a U.S. person, and some ask for a security clearance. A real employer never charges you to apply, never interviews you only by chat app and never asks you to buy equipment.

Pay by specialty

Every specialty gets its typical band from its own open roles, computed by the same method as the rest of the site (the 25th percentile of what roles pay (the middle of each posted range, as a year's pay: an hourly rate counts at 2,080 hours, 40 a week for 52 weeks) to the 90th-percentile posted top). A specialty is listed once three or more distinct rates have been posted.

SpecialtyOpen rolesTypical payHighest rate
Geospatial and Earth observation data8$83.8k–$202k/yr$213k/yr
Machine learning and AI122$149k–$270k/yr$350k/yr
Data engineering14$145k–$231k/yr$280k/yr
Data science and analytics32$115k–$199k/yr$228k/yr

What the roles ask for

Drawn from the requirement lines of 77 out of 176 open roles for data scientists and machine learning engineers, the same lines each role's pop-up quotes from its posting. Each role is counted once, at the lowest degree it will accept.

3

Ask for a PhD

2

Ask for a master's

52

Ask for at least a bachelor's

20

Name no degree

  • Name years of experience63
  • Name a security clearance29
  • Require programming (Python, C++, MATLAB and similar)25
  • Name u.S. person status (ITAR or EAR)8
  • Set a residency or work-authorization condition5
  • Ask for a certification1

Where a posting states years of experience, the median ask is 5 years.

Who hires data scientists and machine learning engineers in the space industry

EmployerOpen rolesPay stated
Muon Space logoMuon Space5$171k–$261k/yr
Hubble Network logoHubble Network1$150k–$235k/yr
Inversion Space logoInversion Space1Not stated
K2 Space logoK2 Space2$140k–$200k/yr
Loft Orbital logoLoft Orbital4$90k–$210k/yr
BlackSky logoBlackSky4$74.9k–$165k/yr
Slingshot Aerospace logoSlingshot Aerospace1$150k–$250k/yr
Northwood Space logoNorthwood Space1$70.7k/yr
True Anomaly logoTrue Anomaly11$120k–$310k/yr
Blue Origin logoBlue Origin15Not stated
Axiom Space logoAxiom Space4Not stated
Astroscale logoAstroscale2Not stated
ICEYE logoICEYE2Not stated
Boeing logoBoeing1Not stated
Isar Aerospace logoIsar Aerospace1Not stated
SpaceX logoSpaceX67$80k–$350k/yr
Planet logoPlanet7$100k–$181k/yr
Vantor logoVantor22$81k–$220k/yr
AST SpaceMobile logoAST SpaceMobile4Not stated
Voyager Technologies logoVoyager Technologies4$120k–$275k/yr
NASA Jet Propulsion Laboratory logoNASA Jet Propulsion Laboratory9$83.8k–$228k/yr
Relativity Space logoRelativity Space2$115k–$130k/yr
Vast logoVast1$160k/yr
Rocket Lab logoRocket Lab5$132k–$153k/yr

Sorted by the expected value of an application (acceptance odds times posted pay). No employer pays for its place in this order.

Where these roles are posted

Two groupings: roles posted for a single country, and roles with a language in the title. A place name leads to its own page, and a count lists the matching roles.

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Frequently asked questions

How much do data scientists and machine learning engineers earn in the space industry?

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.

What do data roles ask for?

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 77 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 20 name no degree.

What does a data scientist or machine learning engineer do at a space company?

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.

How do space companies hire data scientists and machine learning engineers?

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.

Are these jobs real?

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.

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