or apply directly on SpaceX's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days SpaceX's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 52% of SpaceX's roles list one
- Ghost-job risk at SpaceX
- high 1459 stale, 43 reposted of 2,362 open
- Hiring momentum
- 3062 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SpaceX's own greenhouse board since 2026-08-03. Full hiring picture for SpaceX.
About this role
As a Full-Stack Data Scientist on the Starlink Reliability team, you will focus on enhancing the reliability of Starlink customer hardware by building data pipelines, models, and production scoring systems. Your work will involve analyzing various data sources, deploying machine learning models, and collaborating with multiple teams to implement data-driven improvements in hardware and support processes.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SpaceX as an employer.
What you need
- Bachelor’s degree in computer science, data science, mathematics, electrical engineering, or other STEM discipline
- 4+ years of professional experience in data science, machine learning, or software engineering
- Strong proficiency in Python and SQL
- Experience building production data pipelines
- Experience deploying machine learning models in production
Nice to have
- Master’s degree in computer science, data science, mathematics, or other STEM discipline (or PhD with 3+ years of relevant experience)
- Strong understanding of software engineering fundamentals including data structures, algorithms, system design, concurrency, and writing high-performance, maintainable code
- Experience with relational databases, data pipeline orchestration, and large-scale data processing
- Experience deploying, versioning, and monitoring machine learning models in production, including scheduled scoring jobs whose outputs are consumed by other systems
- Experience building APIs or internal tools that deliver model outputs to engineering users
Worth weighing
- Position requires being on-site in Bastrop, TX; hybrid or remote work not considered
- Willingness to work extended hours and weekends as needed
- Willingness to travel up to 10%
- No salary or specific benefits mentioned in the posting
Summarised from SpaceX's posting. Read the full original.
Listed by SpaceX on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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