Lead Data Scientist, Robotics
Core
Define data strategy to build better robots and drive decisions for hardware, software, manufacturing, and operations using massive volumes of robot telemetry and logs.
Role type
Lead Data Scientist (Robotics/Automation)
Builds
Predictive maintenance models, fleet performance dashboards, root-cause analysis tooling, and manufacturing quality feedback loops.
Domain
Robotics, Autonomous Systems, Industrial Automation
Deliverable
production ML models | dashboards & analysis
Required skills
Reliability/survival analysis, time-series analysis, anomaly detection, predictive maintenance, causal/observational inference, Python, SQL, large-scale multi-modal data handling
Preferred skills
Robotics domain experience, fleet operations, RaaS unit economics, manufacturing quality systems (SPC, yield analytics)
Technologies
Python, SQL, modern data stacks
Responsibilities
Build models for MTBF and remaining useful life prediction; Analyze telemetry to correlate software versions/site conditions with failure rates; Develop detection tooling for fleet anomalies; Join end-of-line test data with field performance to predict early failures; Shape experimentation frameworks for fleet A/B testing.
Seniority
Senior, hands-on IC with technical leadership