Data Science & Analytics Manager

About the role

Based at APM Terminals Elizabeth, the Data Science & 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.

Key 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 use cases such as 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.

Required profile

• Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research or related quantitative discipline, or equivalent practical experience.
• Proven success delivering analytics, machine learning, optimization or decision‑support solutions in complex operational, logistics or asset‑intensive environments.
• Experience taking analytical solutions from concept through production deployment, adoption and performance monitoring while delivering measurable operational or financial improvements.

Required skills

• Strong Python expertise.
• Strong SQL expertise.
• Experience with cloud platforms.
• Experience with business intelligence tools.
• Experience with data engineering practices and MLOps.

What we offer

• Dynamic learning and training culture that empowers employees to excel.
• Diverse, multinational workplace where operational insights directly influence how we work.
• Exposure to operational and senior leadership teams and collaboration with regional and global analytics communities.