Data Scientist , Leo Customer Terminal
Redmond, WA - USA
Job Summary
As a Data Scientist you will be responsible for developing advanced analytics and machine learning solutions for user terminals. You will develop predictive models to proactively identify possible user terminal failures in the field. You will work in a collaborative environment with a multi-disciplinary team including constellation RF antenna silicon algorithm and software engineers.
Key job responsibilities
As a Data Scientist you will develop analytic tools for a team developing current and future user terminals. Your responsibilities include:
Develop statistical and analytical tool to enable the regression decision from on-orbit and lab measurement 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 the failures using data as the primary tool
Drive consensus on metrics and analysis approaches to support product development strategy
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.
A day in the life
As a Data Scientist in the LEO Customer Terminal Team you will work daily with satellite constellation algorithm RF antenna silicon hardware and software teams in a collaborative environment. Your focus will be using data as an intelligence source to enable design decisions for the team.
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.
- Masters 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 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
- 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
- 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
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 youre applying in isnt 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 WA Redmond - 136000.00 - 184000.00 USD annually
Required Experience:
IC
About Company
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