Data Scientist - Trucking Safety

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July 16

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Spotter Labs

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Transport • Artificial Intelligence • SaaS

Spotter Labs is a company that offers AI-driven solutions to enhance trucking efficiency and maximize earnings for drivers and owner-operators. Utilizing advanced technology, Spotter enables users to schedule personal work times, select preferred destinations, and avoid unfavorable markets using a NO-GO map. The platform intelligently recommends loads based on their score, connecting drivers with optimal opportunities. With special considerations for motor carriers (MCs) older than six months, Spotter provides competitive pricing and services for various stages of MC age.

2 - 10 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed Round on 2021-11

📋 Description

• 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.

🎯 Requirements

• 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.