Data Scientist - Trucking Safety

Spotter AI; Portugal; Presencial; EUR 30 000 - 45 000; Tempo integral

Resumo da oferta

Spotter AI is seeking a Data Scientist to uncover insights related to safety in the trucking industry. The successful candidate will develop predictive models, analyze driver behavior, and assess the impact of safety initiatives, all while working in a dynamic, diverse environment. Strong programming skills in Python or R and experience in machine learning are essential.

Qualificações

• Strong proficiency in Python or R, SQL, and data visualization tools.
• Experience with predictive modeling and statistical analysis.
• Ability to communicate complex results to non-technical stakeholders.

Responsabilidades

• Develop predictive models for accident risk assessment.
• Analyze driver behavior and incident reports.
• Collaborate with teams to improve safety initiatives.

Conhecimentos

Python

R

SQL

Data Visualization

Predictive Modeling

Machine Learning

Statistical Analysis

Ferramentas

Tableau

Power BI

Descrição da oferta de emprego

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Client:

Spotter AI

Location:

Portugal, Portugal

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

4ee4979867d6

Job Views:

3

Posted:

23.06.2025

Expiry Date:

07.08.2025

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Job Description:

Spotter AI is a fast-growing trucking startup based in the US. You will be working in a high-energy environment with a diverse pool of co-workers from all around the world.

The Role

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.

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.

Ideal Profile

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.

What's on Offer?