Sr Data Scientist Kuiper Ground Services
Sr Data Scientist Kuiper Ground Services
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 143300 - 247600
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
Project Kuiper is an initiative to increase global broadband access through a constellation of 3236 satellites in low Earth orbit (LEO). Its mission is to bring fast affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast affordable broadband to a wide range of customers including consumers businesses government agencies and other organizations operating in places without reliable connectivity.
Key job responsibilities
Responsibilities Include:
Own the roadmap and build satellite operations measurement capabilities aligning with Amazon and industry best practices to Kuiper needs.
Apply causal inference and machine learning techniques to measure satellite effectiveness and efficiency.
Extract data for analysis and model development from large datasets to address mission planning questions.
Create and maintain complex queries.
Develop dashboards and visualizations that incorporate decision science to inform mission decisionmaking.
Collaborate effectively with business partners and team members to align marketing science efforts with strategic goals.
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
The Senior Data Scientist Kuiper Ground Services will bring a mixture of advanced data and statistical analysis modeling dashboarding and ETL skills. The ideal candidate will use datadriven methods to answer satellite mission planning questions and play a key role in the development of measurement models employing experimentation and machine learning. The right person in this role will be able to deal with ambiguity and define frameworks where no prior examples exist. They will be an ambitious selfstarter with the ability to operate independently and thrive in a fastpaced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Responsibilities Include:
Own the roadmap and build satellite operations measurement capabilities aligning with Amazon and industry best practices to Kuiper needs.
Apply causal inference and machine learning techniques to measure satellite effectiveness and efficiency.
Extract data for analysis and model development from large datasets to address mission planning questions.
Create and maintain complex queries.
Develop dashboards and visualizations that incorporate decision science to inform mission decisionmaking.
Collaborate effectively with business partners and team members to align marketing science efforts with strategic goals.
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
The Senior Data Scientist Kuiper Ground Services will bring a mixture of advanced data and statistical analysis modeling dashboarding and ETL skills. The ideal candidate will use datadriven methods to answer satellite mission planning questions and play a key role in the development of measurement models employing experimentation and machine learning. The right person in this role will be able to deal with ambiguity and define frameworks where no prior examples exist. They will be an ambitious selfstarter with the ability to operate independently and thrive in a fastpaced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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