Data Science & Analytics Manager

APM Terminals

Step into the engine room of global commerce. At APM Terminals Elizabeth youll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey supporting critical supply chains across the East Coast and beyond.

This is a place where speed scale and precision come together. Youll collaborate with high- performing teams in a fast-paced high-volume environment where safety and operational excellence are the top priorities. Here your impact is immediateand global.

Why youll love it here
Be part of a major gateway on the U.S. East Coast
Experience high-volume complex terminal operations
Work with driven teams in a fast-moving environment
Continuous improvement mindset where curiosity is encouraged root-cause problem solving is valued and making things better every day is part of how we win

Based at APM Terminals Elizabeth the Data Science and Analytics Manager will shape and lead the terminals analytics capability turning complex operational data into decisions that improve safety service productivity capacity and cost performance. 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.

What We Can Offer

At APM Terminals we foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to improvement means every team member has the opportunity to develop their skills and advance their careers by continuously refining how we work. Experience a diverse multinational workplace where your operational insights directly influence how we work.

• Lead and define a high-impact analytics agenda that directly supports terminal performance and modernization initiatives.
• Work with rich operational data and influence daily decisions across vessel yard gate rail labor equipment and asset management activities.
• Gain exposure to operational and senior leadership teams while collaborating with regional and global analytics communities.
• Build and develop an emerging analytics capability while helping drive technology and operational transformation.

Key Responsibilities

• Define and execute the terminals 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.

What We Are Looking For

• Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindsetcurious about how work gets done and motivated to make meaningful sustainable improvements over time.
• Leadership expectation: We are looking for people who consistently put customers first lead by example with respect for people deliver results with integrity and drive continuous improvement by solving problems at the root developing people and raising standards every day.
• Masters 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.
• Experience taking analytical solutions from concept through production deployment adoption and performance monitoring while delivering measurable operational or financial improvements.
• Ability to communicate complex analysis clearly influence stakeholders and lead people projects vendors and cross-functional teams.
• Experience with cloud platforms business intelligence tools data engineering practices MLOps and advanced analytics techniques such as forecasting optimization simulation anomaly detection computer vision generative AI large language models or digital twins is advantageous.
• Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card.

Salary: $130K - $150K
Location: Elizabeth NJ (5 days in office)

Notice to applicants applying to positions in the United States

Applicants must be authorized to work for any employer in the U.S.

APM Terminals is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities who are applying for positions in the U.S. We value and encourage diversity and solicit applications from all qualified applicants without regard to race color gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition veteran status gender identity genetic information or any other characteristic protected by federal state or local law.

If you are interested in applying for employment with APM Terminals in the U.S. and need special assistance or an accommodation to use our website or to apply for a position or if you need a reasonable accommodation to perform a job please contact the applicable Human Resources Department by emailing . Determination on requests for reasonable accommodation are made on a case-by-case basis pursuant to an interactive dialogue between the applicant and the Company.

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Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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