Safety Data Analyst
New
T
Torc RoboticsAutonomous Vehicles
Remote - USFull-TimeMiddle
Salary126,100 - 151,300 USD per year
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Job Details
- Experience
- B.S. with 5+ years of experience, or M.S. with 3+ years of experience, or PhD with 1+ years of experience
- Required Skills
- PythonSQLAgileData scienceCI/CDData visualization
Requirements
- B.S. with 5+ years of experience, M.S. with 3+ years of experience, or PhD with 1+ years of experience in Data Science, Computer Science, Math, or related field.
- Proven experience in mechanical engineering, vehicle engineering, autonomous systems, robotics, or physics-based applications.
- Experience with vehicle and sensor systems, cloud-based data technology, and data visualization.
- Strong background in applied statistics, safety analysis, risk estimation, or decision support.
- Experience working with complex, real-world datasets, including large-scale time-series or heterogeneous technical data.
- Proficiency in Python and SQL programming languages.
- Familiarity with agile development practices and CI/CD workflows.
- Strong time management, organizational, and problem-solving skills.
- Ability to communicate statistical and technical concepts clearly to diverse teams.
Responsibilities
- Develop, implement, and refine safety performance indicators, thresholds, and targets to proactively identify, assess, and manage safety risk.
- Apply statistically sound methods to evaluate safety performance, quantify uncertainty, and support risk-based decision-making.
- Develop automated, production-ready analysis workflows for continuous safety monitoring and incident response.
- Evaluate data quality, uncertainty, bias, and limitations to ensure findings are statistically defensible.
- Support data visualization and communication strategies for technical teams and safety stakeholders.
- Partner cross-functionally with engineering, product, and safety teams to integrate workflows and align on data-driven decisions.
- Maintain documentation of analytical methods, assumptions, and outputs to support regulatory readiness.
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