Operations Research Scientist

Maersk is achieving an unprecedented transformation in the growth of our businesses and rethinking the way we engage with customers and partners. From the farm to your refrigerator, or the factory to your wardrobe, we are developing solutions that meet customer needs from one end of the supply chain to the other.

Operations Research Scientist

Join the world’s largest container shipping company, to help us re-think what technology can do and build the next-generation products. As a Operations Research Scientist at Maersk,

you will be a key driver in building high-quality data products and analytical assets, to enable Maersk to optimize operational performance & decision making and providing a better experience to our customers.

We offer - This is what you get

You will be part of Business Analytics & Network Desing team for Logistics & Services (L&S), responsible for establishing the network design capabilities & value driven analytics for product across L&S. As a Research Scientist, you will have a leading role in designing, building, maintaining, and iterating on network design products, play a key role in network optimization and unlock value through value driven analytics & optimization

This position offers a unique opportunity to develop and apply your deep knowledge of data science methods, software, and data engineering to create results and insights that are transforming the transport and logistics industry.

This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We offer a unique opportunity to impact global trade via the largest container shipping company in the world. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.

Key responsibilities:

• Drive the research science efforts for gathering network planning requirement as well as end to end supply chain optimization problems, identifying the data needs, designing the right models, and measuring the success of any experiments
• Design and develop efficient research prototypes that solves network design problems and end to end supply chain optimization problems across products in L&S. Work with relevant stakeholders to understand the business processes behind the data and incorporate their needs into any prototypes or experiments to enhance the potential value
• Collaborate and communicate research prototype models’ rationale & results with leadership and business stake stakeholders
• Work with the Products team to roll out network planning models
• Analyse data and work with data analytics to drive the value of any proposed solution
• Support business deep dives, support in performance analytics and conduct scenario simulations and identify optimization opportunities to unlock bottom line impact

To do this job, we imagine you have:

• 5+ years of industry experience in building data science models and products, ideally in transportation / logistics industry PhD or M.Sc. in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience)
• Industry experience in one or more: Combinatorial optimization problems (e.g., scheduling, vehicle routing, facility location), Continuous optimization problems (e.g., linear programming, convex programming, non-convex programming), Predictive analytics (e.g., forecasting, time-series, neural networks), Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning)
• Excellent record of delivery using languages like Python, R, Java and technologies like Hadoop, Git/SVN, JIRA etc
• Good with Microsoft Excel
• Experience in rapid prototyping and experimentation to test ideas quickly
• Ability to work independently with stakeholders while liaising and reviewing with the team

We look forward to your reply.