We are seeking a datadriven and detailoriented Data Scientist to join our AI tech startup. In this role you will focus on uncovering datadriven 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 problemsolving skills and ability to communicate complex results to nontechnical 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 violationsproactively 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.