Senior Data Scientist, project44

• 7+ years professional experience working in an analytics or DS-focused role
• Ability to write sophisticated data analysis & machine learning code in python
• Thought leadership to take a real-world problem without a clean, pre-existing dataset and solve it
• Experience developing software projects with large teams using technologies like; git, github, jira etc
• Ability to take a project from ideation to implementation with a high degree of autonomy and out-of-the box thinking
• In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. The expectation is to be on-site, in office four days a week as this offers the chance to immerse yourself in the energy of the office and collaborate with your co-workers. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment

Desirable

• Project44 is not only making supply chain and logistics datasets available and visible to the people who need it, but enabling actionable insights from that data – and that’s where we come in
• Our primary focus is to provide insights to our customers
• We use a variety of data sets (geospatial, time-series, etc....) to predict routes a shipment might take, estimate the time a truck/train/ship can take to arrive at its destination, and ultimately model the behavior of every “link” in the global supply “chain”
• Our Data Scientists collaborate with engineers, product owners, and most importantly one another to contribute insights and data science best practices to all parts of the business
• Perform analyses to make internal recommendations as to whether data science methods can be used to solve a given problem
• Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
• Research and evaluate new analytical methodologies, approaches, and solutions
• Build, test, and deploy supervised or unsupervised learning models
• Collaborate with teams to analyze the behavior of global transportation networks & supply chains
• Write queries to grab the right set of data to solve problems
• Build tools to enable other data scientists to scale their knowledge and increase impact
• Participate in code reviews and model reviews
• Collaborate with ML Ops Engineers to deploy new models to production
• Mentor junior scientists on the team