.Senior Data/Decision Scientist – Cargo Flow AutomationMaersk is improving life for all by integrating the world. From the farm to your refrigerator, or the factory to your wardrobe, we are developing software solutions to support our customer needs from one end of the supply chain to the other.Technology is taking center stage in enabling our customers to trade globally and we are building our core products in-house.Join us to help re-think what technology can do and support our global logistics business with high-quality software solutions that enable us to reduce our environmental impact and provide a better experience to our customers through improved automation and decision making.Your new jobYou will jointhe Cargo Flow Automation team. We leverage state of the art operations research and decision science to transform data products and predictions into automated decisions. Our decision models are integrated into user workflows to provide optimal business value under complex constraints. We offer a diverse and highly collaborative work environment with flexibility to suit your life.You willbe designing, building and maintaining optimisation and forecasting solutions which play a central role in our strategy to deliver logistics to our customers with minimal manual intervention. You will collaborate closely with other scientists and engineers focusing on analytics problems, in addition to collaborating with business stakeholders to ensure business processes and models fit together.There are a lot of interesting challenges ahead and we need your help.Your new teamWe are a cross-functional team of data scientists, decision scientists, data engineers and software engineersworking together tobuild reliable, performant and maintainable analytics software.We are accountable and proud of our work. Our culture is informal and built on respectful collaboration, experimentation, and continuous improvement. We spend time together at team events and hackathons to form a stronger, more collaborative unit and to inspire and grow each other.We use modern engineering practices, do pair-programming, and take on the full DevOps responsibility for what we build. We primarily use technologies such as python, pandas and pyspark, rely heavily on open source and build software we deploy using Github Actions and Docker onto Kubernetes clusters operated in the Microsoft Azure cloud.Key ResponsibilitiesUnderstand business problems and apply your expertise within robust optimisation and/or machine learning models and algorithms to design, implement, monitor, and iteratively improve on our suite of automation products.Have a continuous focus on providing business value, while ensuring technical sustainability (including maintainability, reliability, performance, availability and interpretability)
