At the end of the day, project44 is a data company. Project44 has grown to a $1B+ valuation by making supply chain and logistics datasets available and visible to the people who need them. The next step is to extract insights from that data – and that’s where we come in.  While some companies have data scientists whose primary focus is on making the organization smarter, our focus is on providing insights to our customers.  We use all sorts of data (geospatial, time-series, etc…) to build models that predict the route that a shipment might take, estimate the time a truck/train/ship might 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.

Typical day-to-day tasks for a Sr Data Scientist might include:

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  • Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
  • Research and evaluate new analytical methodologies, approaches, and solutions
  • Build, test, and deploy supervised or unsupervised learning models
  • Collaborate with teams to analyze behavior of global transportation networks & supply chains
  • Write queries (SQL) to grab the right set of data to solve their problem
  • Build tools to enable other data scientists to scale their knowledge and increase impact
  • Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
  • Participate in code reviews and model reviews of their teammates
  • Collaborate with ML Ops Engineers to deploy new models to production software
  • Mentor less-experienced team members
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• Preferred: 7+ years of experience