We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Scientist -- Trucking Safety at Spotter Labs. Location Information: Fully Remote. . We are seeking a data-driven and detail-oriented . Data Scientist. to join our AI tech startup. In this role, you will focus on uncovering data-driven insights related to safety in the trucking industry. Key Responsibilities:. . Develop predictive models to identify drivers who are at higher risk of accidents or moving violations.. . Analyze driver behavior, vehicle data, and incident reports to uncover patterns that contribute to unsafe driving.. . Evaluate the impact of safety initiatives (training, policy changes, technology deployment, etc.) on reducing incidents and improving compliance.. . Design experiments and apply statistical techniques to validate the effectiveness of safety programs.. . Collaborate with operations, compliance, and engineering teams to turn insights into actionable improvements.. . Present findings and recommendations to stakeholders through clear visualizations and reporting.. . Qualifications:. . Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Tableau, Power BI).. . Experience with predictive modeling, machine learning, and statistical analysis.. . Strong problem-solving skills and ability to communicate complex results to non-technical stakeholders.. . Nice to Have:. . Knowledge of telematics, ELD (Electronic Logging Devices), or safety compliance systems.. . Prior experience working in the trucking, logistics, or transportation safety domain.. . Why This Role Matters:. The candidate will run analysis to . predict which drivers are likely to get into accidents and receive moving violations. —proactively identifying risk before incidents happen. They will also assess how well our . safety initiatives are reducing unsafe behaviors. , helping to build a culture of safety across our operations.. . . .