Senior Data Scientist - Satellite Telemetry & Systems

Amazon Inc.; Omaha (NE); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon Leo is seeking a Senior Data Scientist to transform satellite telemetry into actionable insights that drive system performance and reliability. You will work with large-scale time-series data from satellite payloads, ground networks, and customer terminals, developing models and automated data processing solutions to identify trends and anomalies.

The role involves collaborating with systems, hardware, software, RF, and test engineering teams to establish meaningful KPIs, correlate

Qualifications

• 5+ years of experience with SQL, Python or statistical software
• 4+ years of data science experience in engineering or analytics
• Experience with statistical models (e.g., multinomial logistic regression)
• Experience building large-scale, high-throughput data systems
• Experience in functional or operational data analysis on large datasets
• Ability to translate telemetry data into actionable recommendations

Responsibilities

• Develop scalable data processing and analytical solutions for telemetry and lab/test data
• Analyze large time-series datasets to identify performance trends and anomalies
• Correlate telemetry across subsystems to identify root causes
• Design statistical models and predictive analytics for reliability and performance
• Establish KPIs and baselines to evaluate system functionality across environments
• Develop dashboards and automated reports for engineers and leadership
• Translate findings into actionable engineering recommendations

Skills

SQL

Python

R

SAS

Matlab

Education

Master's degree in CS/Engineering/Math

Tools

AWS QuickSight

Tableau

Power BI

Redshift

Athena

S3

Job description

Amazon Leo is seeking a Senior Data Scientist to transform satellite telemetry into actionable insights that drive system performance and reliability. You will work with large-scale time-series data from satellite payloads, ground networks, and customer terminals, developing models and automated data processing solutions to identify trends and anomalies.

The role involves collaborating with systems, hardware, software, RF, and test engineering teams to establish meaningful KPIs, correlate