ML Data Scientist for LEO Terminals & Predictive Analytics

Amazon Inc.; Redmond; On-site; AUD 194,000 - 262,000; Full time

Job summary

Amazon Leo is seeking a Data Scientist to develop advanced analytics and ML solutions for user terminals in a collaborative, cross-disciplinary environment.

You will build predictive models to identify potential failures in the field and work with constellation, RF, antenna, silicon, algorithm, and software engineers to drive data-driven decisions.

The role emphasizes hands-on data work, model development, and clear communication of insights to stakeholders.

Qualifications

• Master's degree in STEM or equivalent experience
• 3+ years SQL/Python/R/SAS/MATLAB experience
• 3+ years ML/statistical modeling experience
• Experience applying theoretical models in practice
• Experience conducting trade studies and design trades
• Strong analytical, problem-solving, and communication skills
• Ability to work in a small team and deliver results

Responsibilities

• Develop analytic tools for current and future user terminals
• Publish documents and create visualizations to communicate insights
• Create datasets for pre-training and fine-tuning of LLMs
• Develop scalable visualizations for terminal performance analysis
• Collaborate with RF, antenna, silicon, algorithm, and software engineers to root-cause failures
• Drive consensus on metrics and analysis approaches to support product strategy

Skills

Analytical reasoning

Communication skills

Team collaboration

Problem-solving

Education

Master's degree in STEM

PhD in STEM

Tools

SQL

Python

R

SAS

MATLAB

Perl

Job description

Amazon Leo is seeking a Data Scientist to develop advanced analytics and ML solutions for user terminals in a collaborative, cross-disciplinary environment.

You will build predictive models to identify potential failures in the field and work with constellation, RF, antenna, silicon, algorithm, and software engineers to drive data-driven decisions.

The role emphasizes hands-on data work, model development, and clear communication of insights to stakeholders.