Need Help
close button

How can we help?

Select One:

Find Meaning in Your Work and Workplace at These 9 Chicago Companies Hiring

01 Mar 2022
Category: Press
Author: Arrive Marketing
Shape
Looking for more out of your work than a paycheck and unlimited PTO? If so, give these Chicago companies a look.

Arrive Logistics

Kathleen Callaghan, Data Scientist

What they do: Arrive Logistics is a freight brokerage whose proprietary transportation management system uses artificial intelligence and machine learning to more efficiently match shippers and carriers.

What’s one thing that makes Arrive Logistics’ company culture unique or special?

There is real excitement and enthusiasm for the work we are doing across the organization, whether it’s one of my own projects or something I’m involved with indirectly. The result is a high level of collaboration and information-sharing across teams. People are interested in our work and see great value in it, and I find that really motivating and rewarding. I’m excited for the projects currently in development that we’ll be releasing throughout the year and beyond.

What’s the coolest project you’ve worked on recently, and what did you enjoy most about it?

The coolest project for me so far has been my work on the development and implementation of our truck-to-load matching algorithm, which uses data and machine learning to generate recommendations for our carrier reps on which loads to offer their carriers. I’ve enjoyed seeing the direct impact this work has on our carrier reps’ booking efficiency and spread per load, which we can see clearly in the data we are collecting. This product release is just the tip of the iceberg for data science at Arrive, and I’m excited for the projects currently in development that we’ll be releasing throughout the year and beyond.

Photo Credit: Built In. Read the original, complete article here.


Subscribe to receive freight market updates​

"*" indicates required fields

Quick Apply

Download this Report

"*" indicates required fields

Add me to the monthly distribution