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
Master's 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 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 - 159,200.00 - 215,300.00 USD annually
