Data Scientist (Starlink)

SpaceX

Redmond, WA1+ yrs1h agovia LinkedIn

This job at a glance

Who can apply
1 year+ of experience · Bachelor's degree
Must know
Stakeholder managementData analysisPythonC++CETL
Nice to have
Machine learning
Work
On-site in Redmond
Pay
Not stated by the employer.
Skill demand
Python85%Stakeholder management63%Data analysis38%C++1%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 2, 2026 · still open

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About the Role

SpaceX is seeking a Data Scientist to join the Starlink team. You will be responsible for developing strategies, key metrics, tools, software services, and processes to assess the scaling of Starlink and the effectiveness of the Starlink Network in serving millions of users globally. You will collaborate with operators, engineers, and external partners.

Key Responsibilities

  • Build and maintain mission-critical infrastructure, tools, processes, and custom software to assess growth areas for the Starlink program.
  • Lead technical investigations into chronic network-level issues.
  • Automate the aggregation of metrics and detection of widespread application issues across Starlink.
  • Establish and maintain relationships with key engineering stakeholders.
  • Apply data analytics, models, and techniques to data products from space vehicles.
  • Build ground-based software systems for data ingestion, transformation, and storage.
  • Fuse data from multiple sources to create usable information.

Requirements & Tech Stack

  • Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline.
  • 1+ years of professional data/software engineering experience (internship experience is applicable).
  • Development experience in an object-oriented programming language (C, C++, Python).

Preferred Skills And Experience

  • Professional experience in analytics, data science, or machine learning.
  • Ability to take initiative and develop new expertise.
  • Ability to work effectively in a dynamic environment with changing needs and requirements.
  • Experience building solutions with in-stream data processing of structured and semi-structured data.
  • Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection).
  • Experience in custom ETL design, implementation, and maintenance.
  • Familiarity with the Open Systems Intercommunication (OSI) model and other common networking principles.
  • Experience using AI tools to accelerate.

Additional Requirements

  • Must be willing to work extended hours and weekends as needed.
  • U.S. Citizen or national, U.S. lawful permanent resident (green card holder), Refugee, or Asylee under U.S. law, or eligible for required U.S. Department of State authorizations.

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