Data Scientist

The Role

Lead cross-functional initiatives at the intersection of transportation operations, operations research, AI, and business strategy.

Partner with operations, technology, product, finance, and executive leadership to deploy analytics and AI solutions.

Serve as the enterprise champion for Agentic AI adoption, ensuring responsible and measurable implementation.

Co-create solutions with operations and planning leaders, and collaborate with IT, data engineering, and platform teams.

Design and deploy operations research and analytics solutions for scheduling, fleet allocation, demand forecasting, and service optimization.

Translate advances in operations research, machine learning, and agentic systems into operational solutions.

Requirements

• Master's/PhD in a quantitative field such as Operations Research, Computer Science, or Mathematics.
• 7+ years of industry experience in transportation, logistics, or complex operational environments.
• Deep expertise in optimization, simulation, statistical modeling, and machine learning, with strong Python programming skills.
• Prior experience operating in highly cross-functional settings and delivering solutions in cloud-based enterprise environments.
• Experience leading or designing agentic AI systems and explaining complex AI concepts to diverse stakeholders.
• Commitment to responsible AI deployment, particularly in safety and equity-sensitive systems.

Qualifications

• Proven ability to operate in highly cross-functional settings and deliver solutions in cloud-based enterprise environments.
• Strong understanding of operations research, machine learning, and agentic systems.
• Experience with scheduling, fleet allocation, demand forecasting, and service optimization.
• Ability to translate advanced technologies into practical operational solutions.
• Excellent communication and collaboration skills, especially with diverse stakeholders.

Skills

• Optimization, simulation, statistical modeling, and machine learning.
• Python programming skills.
• Experience with cloud-based enterprise environments.
• Experience leading or designing agentic AI systems.
• Ability to explain complex AI concepts to diverse stakeholders.
• Commitment to responsible AI deployment, particularly in safety and equity-sensitive systems.

Benefits

• Competitive salary.
• Opportunity to drive significant improvements in service reliability and efficiency across an organization.
• Influence AI strategy and operational decision-making at an executive level.
• Work with cutting-edge AI and operations research techniques in a practical, applied setting.

Pay

Competitive salary.

Schedule

N/A

Benefits

• Opportunity to drive significant improvements in service reliability and efficiency across an organization.
• Influence AI strategy and operational decision-making at an executive level.
• Work with cutting-edge AI and operations research techniques in a practical, applied setting.