Data Scientist, Starlink: Scale the Global Network

Starlink; Redmond (WA); On-site; USD 125,000 - 200,000; Full time

Benefits offered by this job

Stock options

Discretionary bonus

Healthcare coverage

401(k) plan

Paid vacation

Paid holidays

Shuttle service

Job summary

SpaceX in Redmond, WA is seeking a Data Scientist for Starlink to develop strategy, metrics, tools, and processes for evaluating how Starlink scales and how the network serves tens of millions of users worldwide. You will collaborate with operators, engineers, and external partners to build data-driven solutions, automate data pipelines, and advance analytics and machine learning across the program.

This role requires initiative and communication in a fast-paced environment with shifting

Qualifications

• Bachelor’s degree in a STEM field or related discipline.
• 1+ years of professional data/software engineering experience.
• Development experience in an object-oriented programming language (i.e. C, C++, Python).

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

Skills

Python programming

C/C++

Data analytics

Machine learning

Education

Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline

Tools

SQL

ETL design

Job description

SpaceX in Redmond, WA is seeking a Data Scientist for Starlink to develop strategy, metrics, tools, and processes for evaluating how Starlink scales and how the network serves tens of millions of users worldwide. You will collaborate with operators, engineers, and external partners to build data-driven solutions, automate data pipelines, and advance analytics and machine learning across the program.

This role requires initiative and communication in a fast-paced environment with shifting