Senior Data Scientist, Amazon Leo

Amazon Leo is seeking a Senior Data Scientist to transform complex satellite network and customer terminal telemetry into actionable insights that drive system performance reliability and engineering decisions.

In this role you will work with large-scale datasets generated across satellite payloads ground infrastructure customer terminals and end-to-end laboratory and on-orbit testing environments. You will develop analytical models statistical methods and automated data processing solutions to identify performance trends detect anomalies isolate issues and support system validation and operational readiness.

You will partner closely with systems hardware software RF and test engineering teams to establish meaningful performance metrics correlate telemetry across multiple system components and translate complex technical data into clear recommendations. Your work will directly influence engineering priorities test strategies system improvements and launch readiness decisions.

The ideal candidate combines strong statistical and data science expertise with practical experience analyzing complex engineering systems processing high-volume time-series data and developing scalable analytical solutions. Experience in satellite communications wireless networks or telecommunications is highly desirable.

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.

Key job responsibilities
- Develop and maintain scalable data processing and analytical solutions for satellite payload ground network customer terminal and laboratory test telemetry.
- Analyze large volumes of structured and unstructured data to identify system performance trends anomalies degradation and potential failure conditions.
- Correlate telemetry across satellite payloads RF systems networking infrastructure customer terminals and application-level measurements to identify relationships and isolate root causes.
- Design statistical models machine learning techniques and predictive analytics to detect anomalies characterize system behavior and identify emerging reliability or performance issues.
- Establish performance baselines key performance indicators (KPIs) and statistical methodologies to evaluate system functionality reliability and performance across laboratory and on-orbit environments.
- Analyze automated test results test campaign data and regression trends to identify software and hardware performance changes recurring failures and gaps in test coverage.
- Develop dashboards automated reports and visualization tools that enable engineering teams and leadership to understand system health performance and readiness.
- Apply statistical analysis and experimental design to compare software releases hardware configurations and system changes quantifying their impact on end-to-end performance.
- Translate complex telemetry and analytical findings into actionable engineering recommendations that influence test priorities troubleshooting product improvements and operational decisions.
- Collaborate across multiple engineering organizations to define data requirements improve telemetry quality and develop consistent analytical methodologies.
- Lead the development of reusable analytical frameworks and scalable solutions that improve engineering efficiency reduce manual investigation and accelerate decision-making.
- Mentor engineers and data scientists in statistical methods telemetry analysis data interpretation and data-driven problem-solving.

- 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
- Experience building large-scale high-throughput 24x7 data systems
- Experience in functional or operational data analysis based on large volumes of data
- Experience in identifying incomplete or inaccurate data identifying the root cause and creating/implementing an escalation plan or experience in creating process improvements with automation and analysis
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators
- Experience programmatically testing products measuring test coverage developing the best automation driving testability and diagnostic
- Experience developing tools reports process maps scorecards and data visualizations that improve upon those currently employed for understanding the business and making decisions
- Experience using data reporting or tools to measure performance and make adjustments accordingly
- Experience solving complex problems quantitatively and develop actionable data-driven business recommendations

- 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
- Masters degree or equivalent in computer science engineering mathematics or equivalent or experience in data science machine learning or data mining
- Experience in embedded wireless systems or experience in machine learning data mining information retrieval statistics or natural language processing
- Experience troubleshooting and debugging technical systems or experience operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with AWS data warehouse and reporting technologies like Redshift Athena S3 etc.
- Experience in several of the following areas: machine learning statistics deep learning natural language processing or information retrieval
- Experience with data analytics platforms (Power BI Python SQL Tableau) or experience in creating process improvements with automation and analysis
- Experience with one or more analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI)
- Experience in system design
- Knowledge of network design protocols and troubleshooting
- Experience leading engineering teams as a mentor or tech lead
- Knowledge of satellite communications RF systems networking protocols or end-to-end communication system performance.

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 for more information. If the country/region youre applying in isnt 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 WA Redmond - 159200.00 - 215300.00 USD annually