Job description

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. 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. - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Bachelor’s degree in electrical engineering, physics, mathematics, or an equivalent field - 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 experience with machine learning/statistical modeling, data analysis tools and techniques, and understanding of parameters that affect their performance - Experience conducting and documenting trade studies and design trades - Experience implementing algorithms using both toolkits and self-developed code - Have 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 a 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, 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 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 amazon.jobs 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 amazon.jobs . USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually

Requirements

Must-haves

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
A day in the life
About the team
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Bachelor’s degree in electrical engineering, physics, mathematics, or an equivalent field
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 experience with machine learning/statistical modeling, data analysis tools and techniques, and understanding of parameters that affect their performance
Experience conducting and documenting trade studies and design trades
Experience implementing algorithms using both toolkits and self-developed code
Have 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 a 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, reference frames, and efficiently using vector geometry to simulate time-varying relative geometry of satellites and ground nodes

Nice-to-haves

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Application prep

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Keywords to mirror

machine learningsqlpythonml

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave