Data Science & Analytics Manager

Role Overview

The Data Science and Analytics Manager will shape and lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance.

What You Will Do

Define and execute the terminal’s data science and analytics strategy, roadmap, operating model, and prioritized portfolio aligned with business priorities. Develop predictive, prescriptive, and optimization solutions across operational use cases.

Why It Might Be a Fit

This role offers end-to-end ownership of the analytics roadmap, from identifying high-value opportunities through developing, deploying, and scaling solutions used in live terminal operations.

Requirements

• Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative discipline, or equivalent practical experience.
• Proven success delivering analytics, machine learning, optimization, or decision-support solutions in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments.
• Strong Python and SQL expertise, including experience working with common data science libraries and modern data environments.
• Ability to communicate complex analysis clearly, influence stakeholders, and lead people, projects, vendors, and cross-functional teams.

Benefits

• Salary: $130K – $150K
• 5 days in office
• Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card

Tagged as: Python, SQL