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Safety Data Analyst

2 weeks, 6 days ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
Agile CI/CD Python SQL Statistics
Apply Now
Torc

Torc

Torc Robotics is a leading provider of unmanned and autonomous ground vehicle technology, specializing in self-driving trucks for various industries. Founded in 2005, Torc has a history of innovation, including winning the 2007 DARPA Urban Challenge an...

Road & Rail
251-1K
Founded 2007
$37M raised
View All Jobs 10

Description

  • Develop, implement, and refine safety performance indicators, thresholds, and targets to manage safety risk across on-road and simulation data.
  • Apply statistical methods to evaluate safety performance, quantify uncertainty, and support risk-based decisions.
  • Build automated, production-ready analysis workflows for continuous safety monitoring, milestone gating, incident response, and performance evaluation.
  • Ensure monitoring approaches reflect real-world deployment exposure, operational context, and safety requirements.
  • Evaluate data quality, uncertainty, bias, and limitations to produce defensible findings.
  • Create data visualizations, reports, and communications for technical teams, safety stakeholders, and executives.
  • Partner cross-functionally with engineering, product, verification and validation, simulation, metrics implementation, and safety teams.
  • Maintain documentation of methods, assumptions, workflows, requirements, metrics, and outputs.
  • Support peer review, cross-training, shared analytical patterns, and reproducible workflows to improve continuity of knowledge.

Requirements

  • Advanced degree in Data Science, Computer Science, Math, or a closely related field.
  • B.S. with 5+ years of experience, M.S. with 3+ years of experience, or PhD with 1+ years of experience.
  • Experience in mechanical engineering, vehicle engineering, autonomous systems, robotics, or physics-based applications.
  • Experience with vehicle and sensor systems, cloud-based data technology, data visualization, and statistical analytics.
  • Strong background in applied statistics, safety analysis, risk estimation, or decision support.
  • Experience working with complex real-world datasets and large-scale time-series, vehicle, sensor, or structured safety data.
  • Proficiency in Python and SQL.
  • Familiarity with agile development practices and CI/CD workflows.
  • Strong time management, organization, problem-solving, and communication skills.
  • Experience working in distributed teams across different time zones.
  • Background applying statistics to engineering or physics-based systems (preferred).
  • Familiarity with time-series analysis, uncertainty quantification, rare-event modeling, or reliability analysis (preferred).
  • Experience supporting executive, regulatory, or external stakeholder decision-making (preferred).
  • Experience in simulation evaluation, scenario coverage analysis, or safety-critical system verification (preferred).

Benefits

  • Competitive compensation package with bonus component and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after the start date.
  • AD&D and life insurance.
  • Potential sign-on payment, relocation support, and other compensation depending on the position.
  • Full range of medical, financial, and other benefits.
  • Hybrid/remote flexibility is implied through schedule flexibility and distributed team collaboration.

Interested in this position?

Apply directly on the company website

Apply Now

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