Applied Data Scientist at Leaf Logistics

We are Leaf

Leaf is on a mission to upend the way companies buy and sell transportation. Every year, billions of dollars, hundreds of megatons of carbon and millions of person-hours are wasted because the companies who ship goods and the companies who carry them aren’t upfront about their needs and abilities. Our platform finds ways for buyers and sellers to contract binding commitments for plannable and predictable freight and allows those contracts to be traded when needs change. In time, Leaf will become the hub through which the trillion-dollar American freight market is managed.

We are a team of experienced, smart, and mildly disagreeable troublemakers who like taking on unreasonably big challenges; we know how to build things, we’ve lived what’s broken in this industry, and we’re looking for bright, ambitious people to help us drag the transportation world kicking and screaming into the 21st century.




What does an applied data scientist do at Leaf? 



We ingest, clean and process large amounts of data from a variety of sources including shippers, carriers, 3PLs and 3rd party data providers. 


We are looking for data scientists who will: 


●      Run Leaf’s internal engine to process incoming data and turn these into meaningful insights for our internal teams and customers

●    Identify and quantify business value applying a diverse set of supply chain improvement levers 
●    Ensure high level of quality of results generated by Leaf’s algorithms

●       Provide feedback to the rest of the data science and engineering team to ensure continuous improvement of the internal data engine


●      Build visualizations to clearly communicate results and customer business value


●      Perform ad-hoc and on-demand analyses for internal stakeholders and customers


●     Prioritize your time and attention to maximize the impact of limited resources 



Who makes a good applied data scientist? 


You should be curious, relentless about asking questions until you understand something, and unafraid to acknowledge facts that don’t point in the direction you want them to. Be humble in the face of data, but tenacious in asserting the facts you know. 


Be willing to work with people you disagree with; be eager for criticism, and constantly searching for ways to do what you do better. Never be content with things the way they are, but don’t let the quest for something perfect prevent you from shipping something good.   

Experience in wider supply chain, especially truckload, is useful. You will need to be experienced with Python, and SQL as well as familiarity with the majority of the following:

●     Geospatial analysis


●     Pattern recognition


●     Clustering


●     Time series forecasting


●     Graph-theoretic techniques for network analysis 

We’re also a startup, priorities change all the time, something’s always on fire, and there’s twice as much work to do as hands to do it and new challenges surface constantly, and that you will need to be able to manage how you spend your time in the midst of conflicting priorities. 

#LI-remote


Compensation

Leaf offers a very comprehensive compensation package including competitive base salary, variable compensation and health benefits.
 
Leaf Logistics is an equal-opportunity employer and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!