Data Scientist , Leo Customer Terminal

Socket.dev; Redmond (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon is seeking a Data Scientist for the LEO Customer Terminal team to build predictive models that identify potential user-terminal failures and to develop analytics tools for current and future terminals.

You will collaborate with constellation, RF, antenna, silicon, algorithm, and software engineers to drive data-driven design decisions and create scalable visualizations and benchmarks for GenAI model performance.

Qualifications

• Master's degree in STEM or equivalent experience in STEM fields.
• 3+ years querying data with SQL or similar languages and scripting (Python).
• 3+ years ML/statistical modeling experience with practical results.
• Experience applying theoretical models to real-world problems.
• Ability to document trade studies and communicate results clearly.

Responsibilities

• Develop analytic tools for current and future user terminals.
• Create predictive models to identify potential terminal failures in the field.
• Publish visualizations and communicate insights to stakeholders.
• Collaborate with cross-disciplinary teams to root-cause failures using data.
• Help set metrics and analysis approaches for product development.

Skills

Analytical thinking

Communication skills

Team collaboration

Problem solving

Attention to detail

Education

Master's degree in STEM

PhD preferred

Tools

SQL

Python

R

Matlab

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.

Basic 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, 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

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually