Model and Predict Failures: Build statistical and machine learning models to forecast hardware failures and detect early warning signals.
Analyse Hardware Performance: Identify trends, root causes, and performance patterns across collars, towers, and batteries using large-scale operational data.
Inform Decision-Making: Provide the Fleet Operations team with dashboards, insights, and tools that support prioritisation and resource allocation.
Collaborate Cross-Functionally: Feed key findings and metrics to the Hardware Design, Engineering, and Product teams to inform future hardware iterations.
Experimentation: Run statistical tests to validate hypotheses around environmental impacts, manufacturing changes, and firmware updates.
Reporting and Communication: Create clear, actionable reports and visualisations that...