Data Scientist , Leo Customer Terminal

At Amazon, we’re inventing on behalf of customers, and with Amazon Leo, we’re redefining what global connectivity looks like. Our mission is to deliver fast, affordable broadband to unserved and underserved communities around the world through a constellation of low Earth orbit (LEO) satellites. Every system we build helps connect people to education, healthcare, opportunity, and each other.

Responsibilities

• Develop statistical and analytical tools to enable regression decisions from on-orbit and lab measurements of user terminals.
• Publish documents and create compelling visualizations and presentations to communicate insights to stakeholders.
• Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs.
• Develop scalable visualizations for analysis of user terminal performance.
• Work closely with constellation, RF, antenna, silicon, algorithm, and software engineers to root-cause failures using data as the primary tool.
• Drive consensus on metrics and analysis approaches to support product development strategy.

Requirements

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Qualifications

• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM).
• 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab) experience.
• 3+ years of machine learning/statistical modeling, data analysis tools and techniques, and parameters that affect their performance experience.
• Experience applying theoretical models in an applied environment.
• Experience conducting and documenting trade studies and design trades.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a small team and drive beyond expectations to deliver results.

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

About The Team

The LEO Customer Terminal team is responsible for developing both outdoor and indoor devices that enable customers to access internet service via the LEO satellite network. We own the entire process from early prototypes through mass production, including requirements documentation, architecture definition, hardware development, algorithm development, and all integration and verification testing.

Pay

USA, WA, Redmond - $136,000.00 - $184,000.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.