Description

Analyze large-scale workloads and infrastructure signals to identify application and platform improvements, communicating results to engineers and leadership.

This role is remote.

Responsibilities

• Analyze high-dimensional data to spot trends and tie changes to known events.
• Build and maintain practical visualizations and lightweight ML/DL implementations for classification and prediction.
• Partner with the team to clarify questions, scope analyses, and document methods for extension.
• Debug data issues and communicate trends clearly to stakeholders.

Required Skills

• 5+ years analyzing complex datasets and debugging data issues.
• Strong proficiency in Python and JavaScript.
• Hands-on experience with telemetry/observability stacks: Grafana, Elasticsearch, Splunk.
• BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
• Comfortable owning analysis end-to-end.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with TensorFlow or PyTorch.
• Familiarity with Linux and HPC/large-scale environments.
• Experience visualizing high-dimensional problems.

Key Skills

Education

Any Graduate