Data Scientist: Phased-Array Satellite Validation

Amazon Inc.; Redmond; On-site; AUD 198,000 - 268,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Leo is seeking a Data Scientist to turn telemetry data from our satellite fleet into engineering decisions. You will connect ground test results with in-orbit behavior, identify patterns, and propose actions to hardware and reliability teams.

You will build baselines for healthy operation, develop early warning indicators, and help shape the design, test, and operation of future satellites. Collaboration with hardware, firmware, and software engineers is essential to drive reliable

Qualifications

• Master's degree or above in a quantitative field (statistics, mathematics, data science, physics, electrical or aerospace engineering, or computer science) or PhD.
• 3+ years hands-on experience using Python and SQL to analyze large datasets (time series, telemetry, sensor, or test data).
• Experience applying statistical methods (hypothesis testing, regression, time-series analysis, anomaly detection) to noisy real-world data.
• Experience building visualizations and dashboards that communicate findings to engineers and decision makers.
• Experience framing and solving loosely defined problems, from the first question to a recommendation.
• Ability to work with hardware and software engineers and turn their questions into analyses you can actually run.

Responsibilities

• Analyze in-orbit telemetry to measure health and performance of satellite subsystems, and detect anomalies and slow degradation.
• Correlate in-orbit behavior with pre-launch data, including manufacturing, production test, and environmental test results, to find predictors and refine test limits.
• Correlate in-orbit data with ground segment and failure analysis to identify root causes.
• Connect events across the fleet by build lot, component, configuration, firmware version, orbit, and operating conditions to distinguish systemic issues from one-offs.
• Find patterns indicating hardware design weaknesses and present evidence with clear recommendations to engineering teams.
• Build visualizations and dashboards to support fleet health reviews, anomaly investigations, and design reviews.
• Collaborate with software engineers to improve the data pipeline and automate recurring analyses.
• Own ambiguous investigations end to end, from forming the hypothesis to reporting outcomes to senior leaders.

Skills

Python

SQL

Statistics

Data visualization

Problem solving

Cross-functional collaboration

Education

Master's degree or above in a quantitative field or PhD

Tools

Spark

Athena/Presto

Redshift

AWS

QuickSight

Tableau

Grafana

Plotly/Dash

Job description

Amazon Leo is seeking a Data Scientist to turn telemetry data from our satellite fleet into engineering decisions. You will connect ground test results with in-orbit behavior, identify patterns, and propose actions to hardware and reliability teams.

You will build baselines for healthy operation, develop early warning indicators, and help shape the design, test, and operation of future satellites. Collaboration with hardware, firmware, and software engineers is essential to drive reliable