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.
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