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Data Scientist , Leo Customer Terminal
Redmond, Washington, USA
Actively hiring, first seen by us 2 hours ago- Pay
Pay amount needs review — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Before you apply
- Work authorization
- US citizens or permanent residents only
Due to applicable export control laws and regulations, candidates must be a US citizen or national, US permanent resident (i.e., current Green Card holder), or lawfully admitted into the US as a refugee or granted asylum
What you’ll work on
Full postingYou 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.
From the employer’s posting
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
Education & alternatives
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 - 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 Preferred qualifications - 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
- 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 Preferred qualifications - 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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Employer says posted
- Oct 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
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- MATLAB
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Where the posting names them
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 - 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 Preferred qualifications - 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
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
- 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
- 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 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.
USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually
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
- 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
Preferred qualifications
- 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 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
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- Pay
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
- Location & working pattern
Redmond, Washington, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This passage needs a closer read in the full description.