Data Scientist – Fleet Management/ Fleet Data Analyst – AI & Predictive Modeling/ Fleet Performance Data Analyst (AI & ML Focus)/ Senior Data Analyst – Fleet Optimization & AI

Job Title: Data Analyst – AI & Predictive Modeling for Fleet Operations

Location: Remote

Job Type: Contract

Position Summary:

• We are seeking a detail-oriented and forward-thinking Data Analyst to join our Fleet Data Analytics team. This role will focus on developing an AI-driven predictive model aimed at improving data-driven decision-making, optimizing fleet operations, and supporting strategic initiatives.
• As fleet data grows in complexity and volume, this position is critical in helping the organization derive timely, accurate, and actionable insights. You will work with large, multi-source datasets and apply advanced analytics techniques to enhance operational efficiency and planning capabilities across the fleet.

Key Responsibilities:

• Design, build, and maintain predictive analytics models using AI and machine learning techniques to support fleet management and strategic decision-making.
• Apply advanced analytics and machine learning techniques to forecast fleet performance, identify operational risks, and support optimization efforts.
• Analyze large datasets from multiple platforms, ensuring data integrity, consistency, and completeness.
• Collaborate with stakeholders across departments to understand business needs and implement data-driven solutions that enhance fleet performance and efficiency.
• Identify patterns, anomalies, and opportunities within fleet data (e.g., utilization, maintenance, fuel consumption, downtime).
• Develop dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders.
• Continuously monitor and refine models based on real-world performance, feedback, and evolving business goals.
• Stay current on trends and best practices in AI, data science, and predictive analytics applicable to fleet operations.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 3+ years of experience in data analysis, machine learning, or AI model development.
• Proficiency in Python, R, SQL, or equivalent tools for data modeling and analysis.
• Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
• Demonstrated ability to develop and deploy predictive models using regression, time-series forecasting, classification, or clustering.
• Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, or GCP).
• Strong problem-solving and communication skills with the ability to translate analytical insights into strategic recommendations.

Preferred Skills:

• Knowledge of fleet operations, transportation logistics, or asset lifecycle management.
• Experience with real-time analytics or streaming data.
• Familiarity with MLOps, automated model deployment, or model monitoring.