Lead Data Scientist, Robotics Analytics (Remote)

Agility Robotics; United States; Remoto; USD 218.000 - 340.000; Tempo pieno

Vantaggi offerti da questo lavoro

401(k) Match

Stock options

Medical/Dental/Vision insurance

Unlimited PTO

Parental leave

Relocation assistance

Annual bonus

Tuition reimbursement

Descrizione del lavoro

Agility Robotics is seeking a Lead Data Scientist to shape how data informs the performance, reliability, and economics of its Digit platform. You will define analytics strategy and lead a data-driven engineering organization across hardware, software, and manufacturing teams.

You will transform massive robot telemetry, logs, and sensor streams into actionable models for predictive maintenance, fleet optimization, and operational decisions, guiding product direction and investment.

Competenze

• 10+ years applying data science to real-world problems.
• Expertise in reliability/survival analysis, time-series, anomaly detection, and causal inference.
• Production-grade Python and SQL skills.
• Experience leading cross-functional data teams.
• Ability to translate analysis into decisions trusted by stakeholders.

Mansioni

• Define how data informs robot performance, reliability, and unit economics.
• Build models for predictive maintenance and remaining useful life.
• Develop RCA tooling to detect anomalies early.
• Create dashboards and signals for fleet deployment & economics.
• Collaborate with hardware, software, manufacturing, and business teams.

Conoscenze

Data science leadership

Reliability analysis

Time-series analysis

Anomaly detection

Causal inference

Strumenti

Python

SQL

Pandas

Descrizione del lavoro

Agility Robotics is seeking a Lead Data Scientist to shape how data informs the performance, reliability, and economics of its Digit platform. You will define analytics strategy and lead a data-driven engineering organization across hardware, software, and manufacturing teams.

You will transform massive robot telemetry, logs, and sensor streams into actionable models for predictive maintenance, fleet optimization, and operational decisions, guiding product direction and investment.