FreightFlows

Maritime transportation accounts for nearly 4% of all global climate change emissions. 77% of tonnage moved on the water happens in bulk ships (ie tankers) and not container ships. These ships operate like taxis, and their idle time, and empty voyages reveal a very inefficient transportation system. FreightFlows tracks every boat on the water in real-time and predicts what they'll do next. We leverage unique access to hundreds of millions of live data points/day to analyze and optimize seaborne bulk trade (such as oil, gas, chemicals, aggregates, ore and coal). We're helping shippers and vessel operators to forecast freight partners, helping to secure favorable market pricing and reducing idle time and empty legs for ships. Our goal is to significantly reduce the impact of climate change emissions in the maritime transportation industry by driving down the cost of trade and maximizing utilization. We're a small but experienced team, with experience in maritime tech, commodity analytics and machine learning. We are looking to add a colleague to our Analytics team, who will develop models and build the associated data pipelines to put them into production. This is an excellent opportunity for an engineer who wants to focus on data science or a data scientist who wants to focus more on software development. The team is small and you will have responsibility to create, test, and implement improvements from a roadmap you will help author. You will learn the nuances of our AWS backend and will work on modeling -across structured historical vessel & port data, geospatial data, and scraped industry data- using primarily python and some SQL. You will be responsible for implementing client-facing databases and visualizations, and will need to stay up to date with various modeling research, as it pertains to our problem set. We are creating a unique solution in our industry, and we value creativity, dedication, and honest skepticism in our development teams. Our market is global and we welcome applicants from anywhere in the world; you will work remotely but must be available for some meetings in US Eastern time. You are among the first hires after the founding team, so you need to be comfortable with an uncertain future, fast paced development, risk taking, and the excitement that comes with seeing real world problems fixed with what you do every day. Diverse applicants very welcome - if you think you can help, then please get in contact!