A Freight Logistics Matching startup in Chicago is looking for Data Scientist who has experience with Deep Learning/AI and NLP.

The first project is to build an algorithm that will automatically recommends matches based on criteria, factors and past behaviors of shippers/brokers. The scientist will work with industry leading expert in freight industry as well as potential equity if we become successful. As a data scientist, you should be comfortable working with data and mangling/clean and transform data as well as do everything on your own, while data and other sources are being built.

What you’ll do

Design and develop AI algorithms that ingest large/small unstructured/structure client data sets, separate noise to improve our analytics offering.

Help the data/software engineering improve data storage, processing as well AI practices as we product-ionize your invention.

Validate and test results to ensure quality, integrity, robustness and scalability of the solution.

About FreightFriend

The $1.1 trillion-dollar global logistics market is historically non-transparent, and ripe for increased efficiency. Under the existing model, shippers unknowingly cover endless intermediaries/costs and thus overpay for transportation. FreightFriend wants to change this by directly connecting Logistics Providers, Shippers and carriers to match available freight with truck capacity, balance carrier networks, and provide end to end logistics solutions in a private but centralized environment. Through a mutual friendship model FreightFriend enables logistics partners to collaborate with each other in a centralized, automated environment, without sharing proprietary information over public exchanges or limiting efficiency and usage from private communication or private exchanges.

FreightFriend is based in Chicago at 1871 in the Merchandise Mart, and currently has 15 Logistic Provider clients posting over 8000 loads daily, 20,000 registered carriers, and growing monthly recurring revenue. The Founder and CEO is Noam Frankel, a pioneer and innovator in the logistics industry for over 35 years first, as a founder and Chief Operating Officer of American Backhaulers, where he rolled out their early stage technologies, and helped build into a legendary brokerage operation; as VP of Truckload at Echo Global Logistics he built the truckload division from scratch, before founding Optimal Freight, which he then sold to TFI International.




PhD or equivalent work experience in statistics, computer science, physics or related field

Experience with a variety of NLP and Deep Learning methods for information extraction, topic modeling, parsing, and relationship extraction

Familiarity with developing, deploying, and maintaining production AI models with scalability in mind

Experience with knowledge databases and file processing as well as data storage.

Quantitative training in probability, statistics and machine learning

Analytical development and programming skills

Python, R, Javascript, or other language with AI/ML

Goal-oriented thinking

Great problem solving skills

Experience with communicating insights and presenting concepts to all levels

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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