Data Scientist
Analytics
Artificial Intelligence
Business Intelligence
Data
Data Analysis
Data Analytics
Data Engineer
Data Pipeline
Data Platform
Data Processing
Data Science
Data Science Ops
Data Scientist
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
Llm Evaluation
Programming
Programming Language
Programming Languages
Reporting and Analytics
SQL
Job Description
Develop analytics and machine learning that help enable reliable Amazon LEO user terminals, including predictive models to support failure identification in the field.
Responsibilities
- Build statistical and analytical tools to support regression-based decisions using on-orbit and lab measurement data from user terminals
- Publish technical documents and create visualizations and presentations to communicate insights to stakeholders
- Create and manage datasets for continued LLM pre-training and supervised fine-tuning
- Develop scalable visualizations to analyze user terminal performance
- Partner with constellation, RF, antenna, silicon, algorithm, and software engineers to root-cause failures using data as the primary mechanism
- Drive alignment on metrics and analysis approaches to support product development strategy
Requirements
- Experience with SQL and an RDBMS (e.g., Oracle) or a Data Warehouse
- Bachelor’s degree in electrical engineering, physics, mathematics, or an equivalent field
- 3+ years experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
- 3+ years experience with machine learning and statistical modeling, including analysis tools and techniques and an understanding of parameters that impact performance
- Experience conducting and documenting trade studies and design trades
Technologies
- SQL
- RDBMS
- Oracle
- Data Warehouse
- Python
- R
- SAS
- Matlab
- LLMs
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, plus option for Supplemental life plans)
- EAP
- Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
Export Control Requirement
- Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum
A Day in the Life
- Work daily with satellite constellation, algorithm, RF, antenna, silicon, hardware, and software teams in a collaborative environment
- Use data as an intelligence source to enable design decisions for the team
About the Team
- Develop outdoor and indoor devices that enable customers to access internet service via the LEO satellite network
- Own the full workflow from early prototypes through mass production, including requirements documentation, architecture definition, hardware development, algorithm development, and integration and verification testing
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Publications at top-tier peer-reviewed conferences or journals
- Strong analytical, problem-solving, and communication skills
- Ability to work in a small team and drive beyond expectations to deliver results
- Master’s or PhD degree in electrical engineering, physics, mathematics, or an equivalent field
- Experience in an ML or data scientist role with a large technology company
- Experience taking a leading role in building complex models
- Experience in satellite constellation design and management trades
- Experience modeling orbits and reference frames, and efficiently using vector geometry to simulate time-varying relative geometry of satellites and ground nodes
- Experience working with mobility satellite terminals, such as maritime and aeronautical
- Familiarity with phased array designs and implementations
Location: Redmond, WA (onsite)
Salary: USD 136,000 - 184,000 per year
Minimum experience: 3 years