Data Scientist (Starlink)

SpaceX

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$125,000–$145,000 / yr
Posted
today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $151k
This role $135k
$88k most similar roles pay here $201k

This role pays less than 56% of similar roles. Most pay $126,800–$174,262 — the shaded band above. At the midpoint, this role pays about $135k versus about $151k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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View all roles at SpaceX

At a glance

TL;DR · Data Scientist (Starlink)

As a Data Scientist at Starlink, you will join the dynamic and innovative team responsible for scaling and optimizing the global satellite network serving millions of users. Your primary responsibilities include building mission-critical infrastructure, automating metric aggregation, leading technical investigations, and creating ground-based software systems to ingest, transform, and store data from space vehicles. You will work closely with operators, engineers, and external partners to ensure seamless growth and reliability. Key skills required are experience with Spark, Presto, Flink, Snowflake, Kubernetes, in-stream data processing, predictive modeling, ETL design, and handling large datasets. This role demands expertise in analytics, machine learning, and the ability to develop new solutions independently within a rapidly expanding space technology domain.

What you'll do

  • Build and maintain mission-critical infrastructure to assess Starlink's growth.
  • Automate the aggregation of metrics for detecting widespread application issues.
  • Lead technical investigations into chronic application-level problems.
  • Create ground-based software systems that ingest, transform, and store data.
  • Fuse data from multiple sources to generate usable information.

What we're looking for

  • Bachelor’s degree in a STEM field (e.g., computer science, data science)
  • 1+ years of data/software engineering experience
  • Experience with analytics, data science, and machine learning
  • Proficiency in Spark, Presto, Flink, or Snowflake
  • Knowledge of Kubernetes and custom ETL design
  • Ability to handle large datasets (TB+) and build predictive models
  • Initiative to take on new projects and develop expertise independently

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