About this opportunity

Amazon lists this Data Scientist, Automated Vehicle Testing opportunity in redmond, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Data Scientist, Automated Vehicle Testing

Job ID: | Amazon Kuiper Manufacturing Enterprises LLC

Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

Export Control Requirement:

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.

We are looking for an experienced Data Scientist to help architect state-of-the art test infrastructure and lead the development of data models and analysis tools to represent the ground truth about satellite test results in order to facilitate important business decisions. Our team is responsible for core infrastructure and tools that will serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.

Key job responsibilities

Work with engineering, software and manufacturing teams to understand drivers, impacts, and key influences on satellite performance

Lead the design, build and implementation of production models and make decisions in real time for satellite test results

Drive actions at scale to optimize test methodology and drive increases to satellite reliability

Analysis and modeling of satellite telemetry from test results in lab and on-orbit

Develop models and data pipelines for satellite telemetry

Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs

Develop scalable visualizations for analysis of satellite performance

A day in the life

As Amazon Leo Data Scientist you will own the architecture definition and development of data analysis tools to to aid engineering and production teams in deciding flight-worthiness of each Amazon Leo satellite and historical traceability tools to enable simplified discovery and interpretation of past test data. You will work with multiple engineering, software and manufacturing teams across ground and space systems, to specify requirements, define data collection, interpretation strategies, data pipelines and implement data analysis and reporting tools for Integrated Vehicle tests. Your focus will be in optimizing the analysis of test results to enable Amazon Leo production plans.

About the team

The Automated Vehicle Testing Team is a mix of scientists and software engineers responsible for data infrastructure, tools, and research that serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.

Basic Qualifications

2+ years of data scientist experience

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

1+ years of working with or evaluating AI systems experience

Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Experience applying theoretical models in an applied environment

Preferred Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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, and parental leave. Learn more about our benefits at .