Data Scientist, Hardware Reliability (Starlink)
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Position Overview & Specifications
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal ofΒ enabling human life on Mars.
DATA SCIENTIST, HARDWARE RELIABILITY (STARLINK)
SpaceX is leveraging our experience building rockets and spacecraft to deploy Starlink, the worldβs largest satellite constellation and most advanced broadband internet system. We provide reliable and fast internet to millions of users worldwide, including populations with little or no connectivity, rural communities, aircraft, watercraft, and places where existing services are unreliable, too expensive, or disconnected by natural disasters. We design, build, test, and operate all parts of the system, thousands of satellites and millions of consumer antennae that allow users to connect within minutes of unboxing. The Starlink team is seeking out the best-in-class professionals to maximize Starlinkβs potential for communities and businesses around the globe.
As a Data Scientist for the Starlink Reliability team, you will build the data pipelines, software systems, and analytical tools to improve the reliability of Starlink customer hardware (dishes, routers, power supplies, cables). You will develop the systems and processes needed to reduce failures as we launch new products and scale the network.
RESPONSIBILITIES:
- Build and maintain critical data engineering infrastructure, tools, processes, and custom software to objectively increase the reliability of Starlink customer hardware
- Contribute to critical Starlink software repositories, working in core internal and customer-facing codebases to deliver high-impact technical outcomes for the business
- Create custom data pipelines, infrastructure, and analytics tools that will be used by internal teams and stakeholders to monitor, analyze, and impact business outcomes
- Consistently contribute effort, leadership, and creative thinking to solving complex problems in a collaborative fashion under tight deadlines
- Build relationships and collaborate across disciplines including engineering, production, test, inventory, quality, supply chain, and customer experience to drive positive business outcomes
- Work effectively in a dynamic environment that includes working with changing needs and requirements
- Identify customer needs, gather requirements, and execute independently
- Take on projects that require initiative and developing new expertise
BASIC QUALIFICATIONS:
- Bachelorβs degree in computer science, data science, mathematics, or other STEM discipline
- 4+ years of professional experience in data or software engineering
- Strong proficiency in Python, SQL, Bash scripting, or Git
- Familiar with at least one additional programming language (e.g. Java, Scala, C++, C#)
PREFERRED SKILLS AND EXPERIENCE:
- Masterβs 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
- Strong data engineering fundamentals β relational databases, data pipeline development, orchestration, and data infrastructure
- Strong analytical skills: statistical analysis, data visualization, and quantitative reasoning
- Excellent written and verbal communication skills; ability to make presentations to engineers, team members, internal customers, and management
ADDITIONAL REQUIREMENTS:
- This position is based in Bastrop, TX (Austin area) and requires being on-site; hybrid or remote work not considered
- Must be willing to work extended hours and weekends as needed
- Must be willing to travel up to 10%
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. Β§ 1157, or (iv) Asylee under 8 U.S.C. Β§ 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Β
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceXβs Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out toΒ EEOCompliance@spacex.com.Β
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United States Work Authorization & Sponsorship Guide
Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:
Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.
Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.
Candidate Preparation Blueprint: Technology
Based on transatlantic hiring benchmarks for Data Scientist, Hardware Reliability (Starlink) roles across SpaceX's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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