Data Scientist , Leo Customer Terminal

Amazon is hiring a Data Scientist , Leo Customer Terminal. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include fine tuning.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

fine-tuning

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

- 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 guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content 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
- 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

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
- 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 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

How we rate this

Data Scientist , Leo Customer Terminal at Amazon rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist , Leo Customer Terminal is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $136k-$184k a year.
The role is based in US, WA, Redmond.
The job was posted on November 13, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuning

Also common in data scientist jobs at this level

AWS Spark PyTorch Deep learning NLP TensorFlow

Pay

This job starts at: $136k
Typical data scientist job: $168k

This posting starts 19% below the typical data scientist job. See data scientist jobs

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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