Data Scientist (Starlink)
SpaceX
This job at a glance
- Who can apply
- 1 year+ of experience · Bachelor's degree
- Must know
- Stakeholder managementData analysisPythonC++C
- Nice to have
- Machine learningETLNetworking
- Work
- On-site in Redmond
- Pay
- Not stated by the employer.
- Skill demand
- Python80%Stakeholder management52%Data analysis36%C++3%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
As a Data Scientist at SpaceX, you will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is itself, in serving tens of millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization, as well as key contacts with various major external partners, to help ensure the growth of this program.
Key Responsibilities
- Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
- Lead technical investigations about 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 created by space vehicles
- Build ground-based software systems that ingest, transform, and store data
- 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 (e.g., C, C++, Python)
Preferred Skills and Experience
- Professional experience in analytics, data science, or machine learning
- Ability to take on projects that require taking initiative and developing new expertise
- Ability to work effectively in a dynamic environment that includes working 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
ITAR Requirements
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.