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ExecutivePlacements.com • Redmond, Washington, United States
Role & seniority: Data Scientist (experienced) for Project Kuiper, Amazon; focuses on test infrastructure and data modeling for satellite test results.
Stack/tools: Python, SQL; data querying and scripting; ML/statistical modeling; data pipelines; telemetry analysis; large-language-model (LLM) data for pre-training/fine-tuning; data visualization.
Design, build, and implement production models for real-time decisions on satellite test results.
Analyze and model satellite telemetry from lab and on-orbit tests; develop data pipelines for telemetry.
Create/manage datasets for LLM pre-training/fine-tuning and develop scalable visualizations of satellite performance.
2+ years of data science experience.
3+ years of experience with SQL or scripting/statistical tools (Python, R, MATLAB, etc.).
3+ years of ML/statistical modeling and applied data analysis; experience applying theoretical models in practice.
Experience with Python, Perl, or another scripting language.
Prior ML/data science role at a large technology company.
Location: United States (export control eligibility required: U.S. citizen/national, green card holder, or approved refugee/asylum status).
Work type: Not specified.
Project Kuiper is Amazons low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and weve 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 a Project Kuiper 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 Kuiper 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 Project Kuiper production plans.
About The Team
The Automated Vehicle Testing 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.
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 Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company
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