Senior Data Scientist - Satellite Telemetry & System Readiness

Amazon Inc.

Redmond

On-site

AUD 227,000 - 307,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Parental leave

Job summary

Amazon Leo in Redmond seeks a Senior Data Scientist to transform satellite, network, and terminal telemetry into actionable insights that drive performance and reliability. You will build scalable analytics for high-volume time-series data, collaborating with cross-functional teams to inform engineering decisions and launch readiness.

The ideal candidate combines deep statistics with practical experience in complex systems, including satellite communications or wireless networks.

Qualifications

  • 5+ years of data querying languages or statistical software experience.
  • 4+ years of data scientist experience.
  • Experience with statistical models and large-scale data systems.
  • Experience building tools, dashboards, and data visualizations.

Responsibilities

  • Develop scalable data processing and analytical solutions for satellite, ground, and terminal telemetry.
  • Analyze large volumes of data to identify performance trends and anomalies.
  • Correlate telemetry across systems to identify root causes and inform decisions.
  • Design models and ML methods to detect anomalies and predict issues.
  • Establish KPIs and statistical methodologies to evaluate system performance.
  • Translate findings into actionable recommendations for engineering and operations.
  • Create dashboards and automated reports for leadership and teams.
  • Lead reusable analytic frameworks and mentor junior staff.

Skills

SQL
Python
Statistics
Time-series analysis
Data visualization
Mentorship

Education

Master's degree in CS/Engineering/Math

Tools

AWS (Redshift/Athena/S3)
Power BI/Tableau

Job description

Amazon Leo in Redmond seeks a Senior Data Scientist to transform satellite, network, and terminal telemetry into actionable insights that drive performance and reliability. You will build scalable analytics for high-volume time-series data, collaborating with cross-functional teams to inform engineering decisions and launch readiness.

The ideal candidate combines deep statistics with practical experience in complex systems, including satellite communications or wireless networks.

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