Senior Staff Data Scientist - Robotics & RaaS

Agility Robotics; California; Remote; USD 218,000 - 340,000; Full time

Benefits offered by this job

Competitive salary

Full benefits

Remote-friendly

Professional development

Job summary

Agility Robotics seeks a Senior Staff Data Scientist to define how data drives robot performance and decisions across hardware, software, and manufacturing. You will oversee analytics strategy for Digit deployments in a Robots-as-a-Service model and set direction for a data-driven engineering organization.

You will transform massive robot telemetry, logs, and sensor data into reliable models, MTBF predictions, anomaly detection, and fleet dashboards, collaborating with hardware, software, and

Qualifications

• 10+ years applying data science to real-world problems.
• MS or PhD in a quantitative field; or equivalent professional experience.
• Experience in robotics, autonomous systems, hardware, IoT/industrial settings.
• Deep expertise in reliability/survival analysis, time-series, anomaly detection, and causal inference.
• Strong software fundamentals — production-quality Python, comfort with SQL.
• 3+ years as a technical lead coordinating data science teams.

Responsibilities

• Define how we use data to build better robots and make better decisions.
• Transform robot data into insights and models that drive decisions across hardware, software, and operations.
• Build predictive models for MTBF and remaining useful life of components.
• Develop fleet dashboards and quantify cost of human intervention in RaaS deployments.
• Collaborate with hardware, embedded/software, and manufacturing teams to close data feedback loops.

Skills

Data science

Statistical modeling

Team leadership

Python

SQL

Big data

Multi-modal data

Reliability engineering

Education

MS or PhD in quantitative field

Tools

SQL databases

Job description

Agility Robotics seeks a Senior Staff Data Scientist to define how data drives robot performance and decisions across hardware, software, and manufacturing. You will oversee analytics strategy for Digit deployments in a Robots-as-a-Service model and set direction for a data-driven engineering organization.

You will transform massive robot telemetry, logs, and sensor data into reliable models, MTBF predictions, anomaly detection, and fleet dashboards, collaborating with hardware, software, and