Senior Data Science & Analytics Lead - Terminal Operations

A.P. Moller - Maersk; Elizabeth (NJ); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

TWIC access

Job summary

APM Terminals Elizabeth invites a Data Science and Analytics Manager to lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance.

The role owns the analytics roadmap end-to-end, from identifying high-value opportunities through developing, deploying, and scaling live terminal solutions. Five days in office in Elizabeth, NJ are expected.

Qualifications

• Master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field.
• Proven success delivering analytics, ML, optimization, or decision-support in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments.
• Strong Python and SQL expertise with data science libraries.
• Experience moving analytical solutions from concept to production deployment, adoption, and performance monitoring.

Responsibilities

• Define and execute the terminal’s data science and analytics strategy, roadmap, operating model, and prioritized portfolio aligned with business priorities.
• Partner with operational and functional leaders to identify high-value business problems, establish baselines, and deliver measurable outcomes.
• Develop predictive, prescriptive, and optimization solutions across operational use cases including productivity, capacity, forecasting, reliability, and planning.
• Lead analytics products through the full lifecycle from problem definition and data preparation to deployment, monitoring, and continuous improvement.
• Establish trusted KPI frameworks, reporting solutions, reusable data products, and self-service analytics capabilities.
• Translate complex analytical findings into actionable recommendations, scenarios, and decision-support tools for operational and senior leaders.
• Promote data quality, governance, responsible AI practices, and alignment with enterprise technology standards while building analytics capability across the organization.

Skills

Python

SQL

Data analysis

Stakeholder communication

Education

Master's degree in data science/computer science/statistics/quantitative field

Tools

Cloud platforms

BI tools

MLOps

Job description

APM Terminals Elizabeth invites a Data Science and Analytics Manager to lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance.

The role owns the analytics roadmap end-to-end, from identifying high-value opportunities through developing, deploying, and scaling live terminal solutions. Five days in office in Elizabeth, NJ are expected.